CN118557120A - Remote control system for endoscope hand-held and host computer multi-signal transmission and transmission medium - Google Patents
Remote control system for endoscope hand-held and host computer multi-signal transmission and transmission medium Download PDFInfo
- Publication number
- CN118557120A CN118557120A CN202410827187.6A CN202410827187A CN118557120A CN 118557120 A CN118557120 A CN 118557120A CN 202410827187 A CN202410827187 A CN 202410827187A CN 118557120 A CN118557120 A CN 118557120A
- Authority
- CN
- China
- Prior art keywords
- image
- endoscope
- data
- compressed
- remote control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 47
- 230000006835 compression Effects 0.000 claims abstract description 19
- 238000007906 compression Methods 0.000 claims abstract description 19
- 230000009466 transformation Effects 0.000 claims abstract description 16
- 230000006837 decompression Effects 0.000 claims abstract description 15
- 238000013139 quantization Methods 0.000 claims abstract description 13
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 8
- 239000011159 matrix material Substances 0.000 claims description 15
- 230000008054 signal transmission Effects 0.000 claims description 13
- 238000003860 storage Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000000034 method Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 5
- 238000004806 packaging method and process Methods 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000005520 cutting process Methods 0.000 claims description 3
- 230000001131 transforming effect Effects 0.000 claims description 3
- 238000004891 communication Methods 0.000 abstract description 3
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000004075 alteration Effects 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
- A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/00011—Operational features of endoscopes characterised by signal transmission
- A61B1/00016—Operational features of endoscopes characterised by signal transmission using wireless means
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
- A61B1/00002—Operational features of endoscopes
- A61B1/0002—Operational features of endoscopes provided with data storages
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Surgery (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Pathology (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Biophysics (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Optics & Photonics (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
The invention relates to a remote control system and a transmission medium for multi-signal transmission of an endoscope hand-held and a host, which relate to the technical field of wireless communication, wherein the front end of the endoscope is inserted into a body cavity of a patient and is pushed to a target area, an image is acquired through a photographing button, the image is subjected to linear transformation, the image is applied to each pixel point in the image, the contrast and brightness of the image are adjusted to obtain an adjusted image, the acquired image is compressed and stored based on a compression algorithm of discrete cosine transformation, a color image is divided into 8x8 small blocks, discrete cosine transformation, quantization and entropy coding are carried out on each small block, compressed image data is packed, header information is added, a data packet is created for transmission to a receiver according to the compressed image data and the header information, decompression and image reconstruction operations are carried out on the receiver according to the compressed data and transmission parameters, and an original endoscope image is restored according to the image data before compression.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a remote control system and a transmission medium for multi-signal transmission of an endoscope hand-held and host computer.
Background
Conventional endoscope operation requires a physician to directly hold the endoscope and connect the endoscope to a display device or host computer via a connection line. However, this conventional approach has some limitations such as limited maneuvering space, portability, etc.
In a remote control system for transmitting a plurality of signals of an endoscope hand-held device and a host device, the endoscope can transmit images and other related data to the host device through wireless transmission, and a doctor can receive and view the images of the endoscope in real time through a hand-held device and realize remote control of the endoscope through a control button or an interface on the hand-held device.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a remote control system and a transmission medium for transmitting a plurality of signals of an endoscope handheld and a host, and the wireless communication technology and the remote control system are used for realizing the handheld operation of the endoscope so as to solve the problems in the background art.
The technical scheme for solving the technical problems is as follows: the remote control system for the signal transmission of the endoscope hand-held and host comprises an image acquisition module, an image storage module, an image transmission module and an image reconstruction module; the image acquisition module is used for acquiring an endoscope shooting image, linearly transforming the image, applying the image to each pixel point in the image, and adjusting the contrast and brightness of the image to obtain an adjusted image; the image storage module is used for compressing and storing the adjusted image, dividing the color image into 8x8 small blocks, and performing discrete cosine transform, quantization and entropy coding on each small block; the image transmission module is used for packaging the compressed image data, adding header information, and creating a data packet for transmission to a receiver according to the compressed image data and the header information; the image reconstruction module is used for performing decompression and image reconstruction operations according to the compressed data and transmission parameters, and recovering an original endoscope image according to the image data before compression.
In a preferred embodiment, the image acquisition module acquires the image as follows:
The front end of the endoscope is inserted into a body cavity of a patient and is lightly pushed to a target area, an image is acquired through a photographing button, the image is subjected to linear transformation, and the contrast and the brightness of the image are adjusted, wherein the specific calculation formula is as follows:
I'＝a×I+b
wherein, I' represents a new pixel value, I represents an original pixel value, a is a contrast adjustment parameter, and b is a brightness adjustment parameter;
the linear transformation of the image further comprises the steps of:
Step A1, respectively performing linear transformation on each red, green and blue channel, and setting RGB channel values of an original image to be R, G, B respectively, wherein the specific calculation formula is as follows:
R'＝a×R+b
G'＝a×G+b
B'＝a×B+b
Wherein, R ', G ', B ' represent new red, green and blue channel values, R, G, B respectively represent red, green and blue channel values of the original image, a is a contrast adjustment parameter, and B is a brightness adjustment parameter;
Step A2, limiting the range of the new channel value, ensuring that the pixel value is between 0 and 255, and cutting off the pixel value to 255 when the pixel value exceeds the range;
And A3, reconstructing a new image, and recombining the new channel values into a new RGB image.
In a preferred embodiment, the image storage module compresses and stores the acquired image based on a compression algorithm of discrete cosine transform, divides the color image into 8x8 small blocks, and performs discrete cosine transform, quantization and entropy coding on each small block, and specifically comprises the following steps:
Step B1, dividing an acquired image into a plurality of 8x8 small blocks, and performing color space conversion on each small block from RGB color space to brightness and chromaticity color space;
step B2, discrete cosine transform: discrete cosine transform is carried out on each small block to obtain a corresponding 8x8 frequency domain coefficient matrix, and the spatial domain representation of the image is converted into frequency domain representation so as to process the frequency domain coefficients, wherein the specific calculation formula is as follows:
wherein F (u, v) is an element in the frequency domain coefficient matrix, F (x, y) is a pixel value in the small block, α (u) and α (v) are coefficients, and when u=0, v=0, α (u) and α (v) are taken as Otherwise, 1 is taken;
Step B3, quantifying: the frequency domain coefficient is quantized, divided by a quantization matrix, and the compression ratio and the distortion degree of the image are determined, wherein the specific calculation formula is as follows:
Wherein F' (u, v) is a quantized frequency domain coefficient, F (u, v) is an element in a frequency domain coefficient matrix, Q (u, v) is an element in the quantization matrix, and round represents taking the nearest integer function;
Step B4, entropy coding: and carrying out Hartmann coding scanning on the quantized frequency domain coefficients, arranging non-zero coefficients according to a certain sequence, compressing by using the Hartmann coding, and storing the compressed data for subsequent decompression.
In a preferred embodiment, the image transmission module packages the compressed image data and adds header information, and creates a data packet for transmission to the receiving party according to the compressed image data and the header information, and the specific steps are as follows:
step C1, header information: the image width, the image height and the color space are contained in the fields in the header information, and the value of each field is converted into a corresponding binary representation according to the data type and the length of the field;
Step C2, data packet assembly: combining the binary form of the header information with the compressed image data according to a certain format to form a final data packet;
step C3, adding the binary representation of the header information and the compressed image data into the data packet according to the structure of the data packet;
And step C4, carrying out serialization operation on the data packet, and converting the data packet into a binary stream so as to facilitate transmission of the data packet to a receiving party.
In a preferred embodiment, the image reconstruction module performs decompression and image reconstruction operations on the receiving side according to the compressed data and the transmission parameters, and restores the original endoscope image according to the image data before compression, and the specific steps are as follows:
Step D1, decompression: receiving a data packet from a sender, wherein the data packet contains compressed image data and related header information, analyzing the received data packet, separating the header information from the compressed image data, and performing decompression operation on the received compressed image data according to a compression algorithm and parameters to restore the compressed image data to uncompressed image data;
Step D2, image reconstruction: and carrying out image feature restoration operation according to the feature parameters in the head information, including image width, height and color space, and carrying out image reconstruction operation by utilizing the decompressed image data and restored image features to restore the original endoscope image.
An embodiment of the present invention further provides a plurality of signal transmission media for the endoscope hand-held and host computer, wherein the transmission media are remotely controlled to implement the method. It will be appreciated that the signal transmission media of the endoscope hand-held and host computer in this embodiment may be volatile transmission media or may be nonvolatile transmission media.
The beneficial effects of the invention are as follows:
Inserting the front end of an endoscope into a body cavity of a patient, advancing the endoscope to a target area, acquiring an image through a photographing button, carrying out linear transformation on the image, applying the image to each pixel point in the image, adjusting the contrast and brightness of the image to obtain an adjusted image, carrying out compression storage on the acquired image based on a compression algorithm of discrete cosine transformation, dividing a color image into 8x8 small blocks, carrying out discrete cosine transformation, quantization and entropy coding processing on each small block, packaging compressed image data, adding head information, creating a data packet for transmission to a receiver according to the compressed image data and the head information, carrying out decompression and image reconstruction operation on the receiver according to the compressed data and transmission parameters, restoring an original endoscope image according to the image data before compression, and realizing remote control on the endoscope through a remote control system of a plurality of signals of an endoscope hand-held and a host.
Drawings
Fig. 1 is a system configuration diagram of the present invention.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In the description of the present application, the term "for example" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "for example" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
Example 1
The embodiment provides a remote control system for the transmission of a plurality of signals of an endoscope hand-held and a host machine as shown in fig. 1, which comprises an image acquisition module, an image storage module, an image transmission module and an image reconstruction module;
And an image acquisition module: inserting the front end of the endoscope into a body cavity of a patient, advancing the endoscope to a target area, acquiring an image through a photographing button, performing linear transformation on the image, applying the image to each pixel point in the image, and adjusting the contrast and brightness of the image to obtain an adjusted image;
an image storage module: compressing and storing the acquired image based on a compression algorithm of discrete cosine transform, dividing the color image into 8x8 small blocks, and performing discrete cosine transform, quantization and entropy coding on each small block;
And an image transmission module: packaging the compressed image data, adding header information, and creating a data packet for transmission to a receiver according to the compressed image data and the header information;
and an image reconstruction module: at the receiving side, decompression and image reconstruction operations are carried out according to the compressed data and the transmission parameters, and the original endoscope image is restored according to the image data before compression.
In this embodiment, an image acquisition module is specifically required to be described, where the image acquisition module inserts the front end of an endoscope into a body cavity of a patient, lightly advances the front end to a target area, acquires an image through a photographing button, performs linear transformation on the image, and adjusts contrast and brightness of the image, where a specific calculation formula is as follows:
I'＝a×I+b
wherein, I' represents a new pixel value, I represents an original pixel value, a is a contrast adjustment parameter, and b is a brightness adjustment parameter;
the linear transformation of the image further comprises the steps of:
Step A1, respectively performing linear transformation on each red, green and blue channel, and setting RGB channel values of an original image to be R, G, B respectively, wherein the specific calculation formula is as follows:
R'＝a×R+b
G'＝a×G+b
B'＝a×B+b
Wherein, R ', G ', B ' represent new red, green and blue channel values, R, G, B respectively represent red, green and blue channel values of the original image, a is a contrast adjustment parameter, and B is a brightness adjustment parameter;
Step A2, limiting the range of the new channel value, ensuring that the pixel value is between 0 and 255, and cutting off the pixel value to 255 when the pixel value exceeds the range;
And A3, reconstructing a new image, and recombining the new channel values into a new RGB image.
In this embodiment, an image storage module is specifically described, where the image storage module compresses and stores an acquired image based on a compression algorithm of discrete cosine transform, and divides a color image into 8x8 small blocks, and performs discrete cosine transform, quantization and entropy coding on each small block, and the specific steps are as follows:
Step B1, dividing an acquired image into a plurality of 8x8 small blocks, and performing color space conversion on each small block from RGB color space to brightness and chromaticity color space;
step B2, discrete cosine transform: discrete cosine transform is carried out on each small block to obtain a corresponding 8x8 frequency domain coefficient matrix, and the spatial domain representation of the image is converted into frequency domain representation so as to process the frequency domain coefficients, wherein the specific calculation formula is as follows:
wherein F (u, v) is an element in the frequency domain coefficient matrix, F (x, y) is a pixel value in the small block, α (u) and α (v) are coefficients, and when u=0, v=0, α (u) and α (v) are taken as Otherwise, 1 is taken;
Step B3, quantifying: the frequency domain coefficient is quantized, divided by a quantization matrix, and the compression ratio and the distortion degree of the image are determined, wherein the specific calculation formula is as follows:
Wherein F' (u, v) is a quantized frequency domain coefficient, F (u, v) is an element in a frequency domain coefficient matrix, Q (u, v) is an element in the quantization matrix, and round represents taking the nearest integer function;
Step B4, entropy coding: and carrying out Hartmann coding scanning on the quantized frequency domain coefficients, arranging non-zero coefficients according to a certain sequence, compressing by using the Hartmann coding, and storing the compressed data for subsequent decompression.
In this embodiment, an image transmission module is specifically described, where the image transmission module packages compressed image data, adds header information, and creates a data packet for transmission to a receiving party according to the compressed image data and the header information, and the specific steps are as follows:
step C1, header information: the image width, the image height and the color space are contained in the fields in the header information, and the value of each field is converted into a corresponding binary representation according to the data type and the length of the field;
Step C2, data packet assembly: combining the binary form of the header information with the compressed image data according to a certain format to form a final data packet;
step C3, adding the binary representation of the header information and the compressed image data into the data packet according to the structure of the data packet;
And step C4, carrying out serialization operation on the data packet, and converting the data packet into a binary stream so as to facilitate transmission of the data packet to a receiving party.
In this embodiment, an image reconstruction module is specifically described, where the image reconstruction module performs decompression and image reconstruction operations on a receiving side according to compressed data and transmission parameters, and restores an original endoscope image according to the image data before compression, and the specific steps are as follows:
Step D1, decompression: receiving a data packet from a sender, wherein the data packet contains compressed image data and related header information, analyzing the received data packet, separating the header information from the compressed image data, and performing decompression operation on the received compressed image data according to a compression algorithm and parameters to restore the compressed image data to uncompressed image data;
Step D2, image reconstruction: and carrying out image feature restoration operation according to the feature parameters in the head information, including image width, height and color space, and carrying out image reconstruction operation by utilizing the decompressed image data and restored image features to restore the original endoscope image.
Example 2
An embodiment of the present invention further provides a plurality of signal transmission media for the endoscope hand-held and host computer, wherein the transmission media are remotely controlled to implement the method. It will be appreciated that the signal transmission media of the endoscope hand-held and host computer in this embodiment may be volatile transmission media or may be nonvolatile transmission media.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. The utility model provides a handheld and host computer multiple signal transmission's remote control system of endoscope which characterized in that: the system comprises an image acquisition module, an image storage module, an image transmission module and an image reconstruction module; the image acquisition module is used for acquiring an endoscope shooting image, linearly transforming the image, applying the image to each pixel point in the image, and adjusting the contrast and brightness of the image to obtain an adjusted image; the image storage module is used for compressing and storing the adjusted image, dividing the color image into 8x8 small blocks, and performing discrete cosine transform, quantization and entropy coding on each small block; the image transmission module is used for packaging the compressed image data, adding header information, and creating a data packet for transmission to a receiver according to the compressed image data and the header information; the image reconstruction module is used for performing decompression and image reconstruction operations according to the compressed data and transmission parameters, and recovering an original endoscope image according to the image data before compression.
2. The remote control system for multiple signal transmission of an endoscope handpiece and a host computer of claim 1, wherein: the image acquisition module acquires the image as follows:
The front end of the endoscope is inserted into a body cavity of a patient and advanced to a target area, an image is acquired through a photographing button, the image is subjected to linear transformation, and the contrast and brightness of the image are adjusted, wherein the specific calculation formula is as follows:
I'＝a×I+b
wherein I' represents a new pixel value, I represents an original pixel value, a represents a contrast adjustment parameter, and b represents a brightness adjustment parameter.
3. The remote control system for multiple signal transmission of an endoscope hand-held and a host computer according to claim 2, wherein said linear transformation of the image comprises the steps of:
Step A1, respectively performing linear transformation on each red, green and blue channel, and setting RGB channel values of an original image to be R, G, B respectively, wherein the specific calculation formula is as follows:
R'＝a×R+b
G'＝a×G+b
B'＝a×B+b
Wherein, R ', G ', B ' represent new red, green and blue channel values, R, G, B respectively represent red, green and blue channel values of the original image, a is a contrast adjustment parameter, and B is a brightness adjustment parameter;
Step A2, limiting the range of the new channel value, ensuring that the pixel value is between 0 and 255, and cutting off the pixel value to 255 when the pixel value exceeds the range;
And A3, reconstructing a new image, and recombining the new channel values into a new RGB image.
4. A remote control system for multiple signal transmission between an endoscope and a host according to claim 3, wherein said discrete cosine transforming each small block comprises the following steps:
Step B1, dividing an acquired image into a plurality of 8x8 small blocks, and performing color space conversion on each small block from RGB color space to brightness and chromaticity color space;
step B2, discrete cosine transform: discrete cosine transform is carried out on each small block to obtain a corresponding 8x8 frequency domain coefficient matrix, and the spatial domain representation of the image is converted into frequency domain representation so as to process the frequency domain coefficients, wherein the specific calculation formula is as follows:
wherein F (u, v) is an element in the frequency domain coefficient matrix, F (x, y) is a pixel value in the small block, α (u) and α (v) are coefficients, and when u=0, v=0, α (u) and α (v) are taken as Otherwise, take 1.
5. The remote control system for multiple signal transmission of an endoscope hand-held and host computer according to claim 4, wherein said step of quantizing each small block comprises quantizing a frequency domain coefficient, dividing the frequency domain coefficient by a quantization matrix, and determining a compression ratio and a distortion degree of an image, wherein a specific calculation formula is as follows:
Where F' (u, v) is the quantized frequency domain coefficient, F (u, v) is an element in the frequency domain coefficient matrix, Q (u, v) is an element in the quantization matrix, and round represents taking the nearest integer function.
6. The remote control system for multiple signal transmissions of an endoscope handpiece and host computer of claim 5, wherein the step of entropy encoding each small block comprises performing a huffman encoding scan on quantized frequency domain coefficients, arranging non-zero coefficients in a certain order, compressing with the huffman encoding, and storing the compressed data.
7. The remote control system for multiple signal transmission between an endoscope and a host machine according to claim 1, wherein the image transmission module specifically performs the steps of:
step C1, header information: the image width, the image height and the color space are contained in the fields in the header information, and the value of each field is converted into a corresponding binary representation according to the data type and the length of the field;
Step C2, data packet assembly: combining the binary form of the header information with the compressed image data according to a certain format to form a final data packet;
step C3, adding the binary representation of the header information and the compressed image data into the data packet according to the structure of the data packet;
And step C4, carrying out serialization operation on the data packet, and converting the data packet into a binary stream so as to facilitate transmission of the data packet to a receiving party.
8. The remote control system for multiple signal transmission between an endoscope and a host machine according to claim 1, wherein the image reconstruction module comprises the following specific steps:
Step D1, decompression: receiving a data packet from a sender, wherein the data packet contains compressed image data and related header information, analyzing the received data packet, separating the header information from the compressed image data, and performing decompression operation on the received compressed image data according to a compression algorithm and parameters to restore the compressed image data to uncompressed image data;
Step D2, image reconstruction: and carrying out image feature restoration operation according to the feature parameters in the head information, including image width, height and color space, and carrying out image reconstruction operation by utilizing the decompressed image data and restored image features to restore the original endoscope image.
9. An endoscope hand-held and host computer multi-signal transmission medium, wherein the transmission medium, when executed by a remote control, implements the remote control system for endoscope hand-held and host computer multi-signal transmission of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410827187.6A CN118557120A (en) | 2024-06-25 | 2024-06-25 | Remote control system for endoscope hand-held and host computer multi-signal transmission and transmission medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410827187.6A CN118557120A (en) | 2024-06-25 | 2024-06-25 | Remote control system for endoscope hand-held and host computer multi-signal transmission and transmission medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN118557120A true CN118557120A (en) | 2024-08-30 |
Family
ID=92472674
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410827187.6A Pending CN118557120A (en) | 2024-06-25 | 2024-06-25 | Remote control system for endoscope hand-held and host computer multi-signal transmission and transmission medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118557120A (en) |
-
2024
- 2024-06-25 CN CN202410827187.6A patent/CN118557120A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7114653B2 (en) | Systems for Encoding High Dynamic Range and Wide Gamut Sequences | |
| US8599925B2 (en) | Efficient coding and decoding of transform blocks | |
| CN111726634B (en) | High-resolution video image compression transmission method and system based on FPGA | |
| US7194128B1 (en) | Data compression using principal components transformation | |
| CN102523367A (en) | Real-time image compression and reduction method based on plurality of palettes | |
| US20050159643A1 (en) | In-vivo imaging device providing data compression | |
| US8340442B1 (en) | Lossy compression of high-dynamic range image files | |
| KR20040007687A (en) | Method and system for achieving coding gains in wavelet-based image codecs | |
| CA2250284C (en) | A perceptual compression and robust bit-rate control system | |
| CN113613004A (en) | Image encoding method, image encoding device, electronic device, and storage medium | |
| JP2015501604A (en) | Perceptually lossless and perceptually enhanced image compression system and method | |
| JP2008535547A (en) | In vivo imaging device providing constant bit rate transmission | |
| EP1176832A2 (en) | Lossy JPEG compression/reconstruction using principal components transformation | |
| WO2020036957A1 (en) | Image compression | |
| US20020191854A1 (en) | System and method for processing demosaiced images to reduce color aliasing artifacts | |
| JPWO2005081515A1 (en) | Image compression method, image compression apparatus, image transmission system, data compression pre-processing apparatus, and computer program | |
| US20090060324A1 (en) | Image enhancement and compression | |
| CN118557120A (en) | Remote control system for endoscope hand-held and host computer multi-signal transmission and transmission medium | |
| WO2017090068A1 (en) | Method for encoding and decoding of hdr images | |
| US20090074059A1 (en) | Encoding method and device for image data | |
| AU2003226616A2 (en) | Repetition coded compression for highly correlated image data | |
| WO2003084205A2 (en) | Repetition coded compression for highly correlated image data | |
| KR100339554B1 (en) | Method of image data process for picturephone | |
| KR101600029B1 (en) | Dual type real-time high-quality image restoration and encoding system | |
| JPH02161887A (en) | System and device for encoding image signal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |