Ayasso et al., 2012 - Google Patents
A variational Bayesian approach for unsupervised super-resolution using mixture models of point and smooth sources applied to astrophysical map-makingAyasso et al., 2012
View PDF- Document ID
- 10791300952563551346
- Author
- Ayasso H
- Rodet T
- Abergel A
- Publication year
- Publication venue
- Inverse Problems
External Links
Snippet
We present, in this paper, a new unsupervised method for joint image super-resolution and separation between smooth and point sources. For this purpose, we propose a Bayesian approach with a Markovian model for the smooth part and Student's t-distribution for point …
- 239000000203 mixture 0 title description 13
Classifications
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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- G06F17/141—Discrete Fourier transforms
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
- G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
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- G06K9/62—Methods or arrangements for recognition using electronic means
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