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 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
Conference Date 1995/12/15(1days)
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Registration To Communication Systems (CS)
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
Date of Issue