| Presentation | 2005/6/16 Super-resolution with Smooth-Gap Prior Atsunori KANEMURA, Shinichi MAEDA, Shin ISHII, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When extracting a single high resolution image from a set of low resolution images, maximum a posteiori estimators have been recongnized to be effective because they resolve the ill-posed nature of this inverse problem. A Bayesian approach which marginalizes over the high resolution image and then estimates the degrading process has also been established recently. However, the formerly used prior distribution was a simple Gaussian distribution, which prefers blurred high resolution images. In this study we use a smooth-gap prior which describes inherent properties of images more faithfully in order to estimate both the degrading process and the high resolution image. The smooth-gap prior is a complicated Gaussian distribution but allows estimated images to be sharp. Under the non-blind condition (in which we know the degrading process) the smooth-gap prior worked effectively to make estimated high resolution images sharp. Under the blind condition (in which we do not know the degrading process) the smooth-gap prior was comparable to the simple Gaussian prior in the estimation of the degrading process whereas superior to the Gaussian in respect of the sharpness of the image. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Super-resolution / blind deconvolution / Bayesian inference / image processing / prior distribution |
| Paper # | NC2005-13 |
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| Committee | NC |
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| Conference Date | 2005/6/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Super-resolution with Smooth-Gap Prior |
| Sub Title (in English) | |
| Keyword(1) | Super-resolution |
| Keyword(2) | blind deconvolution |
| Keyword(3) | Bayesian inference |
| Keyword(4) | image processing |
| Keyword(5) | prior distribution |
| 1st Author's Name | Atsunori KANEMURA |
| 1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
| 2nd Author's Name | Shinichi MAEDA |
| 2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| 3rd Author's Name | Shin ISHII |
| 3rd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| Date | 2005/6/16 |
| Paper # | NC2005-13 |
| Volume (vol) | vol.105 |
| Number (no) | 130 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |