Presentation | 1995/12/15 2-Dimensional Blurred Image Restoration by Wiener Filter Using Linear Prediction Kohei OHTAKE, Takayuki YAMAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | For restoring linearly blurred image with additive noise, DFT or DCT domain Wiener filtering techniques have been reported. However, each technique requires such an unrealistic assumption as the periodicity of image signal for the fomer or the even symmetry at the image boundary for the latter. This paper proposes a DFT domain Wiener filtering technique which does not depend on the above assumptions, but insted incorporates linear prediction to get the information outside the image boundary naturally assuming the image being generated by AR(1) model. Image restoration experiments based on this technique show better results than by the existing DFT technique. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Image restoration / Linear prediction / AR (1) model / Wiener Filter / DFT / DCT |
Paper # | CS95-155,IE95-107 |
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Committee | CS |
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Conference Date | 1995/12/15(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Communication Systems (CS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | 2-Dimensional Blurred Image Restoration by Wiener Filter Using Linear Prediction |
Sub Title (in English) | |
Keyword(1) | Image restoration |
Keyword(2) | Linear prediction |
Keyword(3) | AR (1) model |
Keyword(4) | Wiener Filter |
Keyword(5) | DFT |
Keyword(6) | DCT |
1st Author's Name | Kohei OHTAKE |
1st Author's Affiliation | College of Engineering, Hosei University() |
2nd Author's Name | Takayuki YAMAMOTO |
2nd Author's Affiliation | College of Engineering, Hosei University |
Date | 1995/12/15 |
Paper # | CS95-155,IE95-107 |
Volume (vol) | vol.95 |
Number (no) | 436 |
Page | pp.pp.- |
#Pages | 6 |
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