Presentation | 2001/11/9 Image Restoration under Spatially Correlated Noise Jun Tsuzurugi, Masato Okada, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we treat a restoration problem for noisy-degraded image based on the Bayesian inference. As long as we know, it is usually assumed that superimposed noise has no correlation among the pixels. We discuss spatially correlated noise in this paper. The generative statistical models for the original image and the noise are assumed to obey multi-dimensional Gaussian distributions, whose covariance matrixes have translational invariance. We can derive exact description for expectation of the restored image using the Fourier transformation, and found that resultant values of hyper-parameter estimations for minimum error and maximal posterior marginal criteria coincide with each other where generative probabilistic model and that of restoration process belong to the same class, while they do not for the different classes. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image restoration / Bayesian inference / Hyper-parameter estimation / Fourier transformation |
Paper # | NC 2001-67 |
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Committee | NC |
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Conference Date | 2001/11/9(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Image Restoration under Spatially Correlated Noise |
Sub Title (in English) | |
Keyword(1) | Image restoration |
Keyword(2) | Bayesian inference |
Keyword(3) | Hyper-parameter estimation |
Keyword(4) | Fourier transformation |
1st Author's Name | Jun Tsuzurugi |
1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology:Institute of Physical and Chemical Research() |
2nd Author's Name | Masato Okada |
2nd Author's Affiliation | Institute of Physical and Chemical Research |
Date | 2001/11/9 |
Paper # | NC 2001-67 |
Volume (vol) | vol.101 |
Number (no) | 432 |
Page | pp.pp.- |
#Pages | 8 |
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