[go: up one dir, main page]

Zhang et al., 2016 - Google Patents

Using saliency-weighted disparity statistics for objective visual comfort assessment of stereoscopic images

Zhang et al., 2016

Document ID
8552779319000703478
Author
Zhang W
Luo T
Jiang G
Jiang Q
Ying H
Lu J
Publication year
Publication venue
3D Research

External Links

Snippet

Visual comfort assessment (VCA) for stereoscopic images is a particularly significant yet challenging task in 3D quality of experience research field. Although the subjective assessment given by human observers is known as the most reliable way to evaluate the …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00Stereoscopic or multiview television systems; Details thereof
    • H04N13/0003Stereoscopic image signal coding, multiplexing, processing, recording or transmission
    • H04N13/0007Processing stereoscopic image signals

Similar Documents

Publication Publication Date Title
Fang et al. Saliency detection for stereoscopic images
US8520935B2 (en) 2D to 3D image conversion based on image content
Ghazvinian Zanjani et al. Impact of JPEG 2000 compression on deep convolutional neural networks for metastatic cancer detection in histopathological images
US8897542B2 (en) Depth map generation based on soft classification
Ju Jung et al. Visual comfort assessment metric based on salient object motion information in stereoscopic video
Kim et al. Binocular fusion net: deep learning visual comfort assessment for stereoscopic 3D
Jiang et al. On predicting visual comfort of stereoscopic images: A learning to rank based approach
Jiang et al. Leveraging visual attention and neural activity for stereoscopic 3D visual comfort assessment
Jiang et al. RETRACTED ARTICLE: Quality assessment for virtual reality technology based on real scene
Zhang et al. Using saliency-weighted disparity statistics for objective visual comfort assessment of stereoscopic images
Lebreton et al. Measuring perceived depth in natural images and study of its relation with monocular and binocular depth cues
CN113762037A (en) Image recognition method, device, equipment and storage medium
Ding et al. Stereoscopic image quality assessment by analysing visual hierarchical structures and binocular effects
Jiang et al. Visual comfort assessment for stereoscopic images based on sparse coding with multi-scale dictionaries
Cheng et al. Stereoscopic visual saliency prediction based on stereo contrast and stereo focus
Shen et al. No-reference stereoscopic 3D image quality assessment via combined model
Li et al. No-reference stereoscopic image quality assessment based on cyclopean image and enhanced image
Ma et al. Reduced-reference 3D image quality measurement via spatial to gradient domain feature aggregation
Chang et al. Adaptive pixel-wise and block-wise stereo matching in lighting condition changes
Zhou et al. Visual comfort prediction for stereoscopic image using stereoscopic visual saliency
Xu et al. Parts-based stereoscopic image assessment by learning binocular manifold color visual properties
Shen et al. Asymmetric two-stream network for screen content image quality assessment based on region features
Li et al. Pseudo-global strategy-based visual comfort assessment considering attention mechanism
Luo et al. Weber-aware weighted mutual information evaluation for infrared–visible image fusion
Liu et al. Multi-task visual discomfort prediction model for stereoscopic images based on multi-view feature representation