TY - GEN
T1 - Image deblurring combining poisson singular integral and total variation prior models
AU - Madero-Orozco, Hiram
AU - Ruiz, Pablo
AU - Mateos, Javier
AU - Molina, Rafael
AU - Katsaggelos, Aggelos K.
PY - 2013
Y1 - 2013
N2 - In this paper a new combination of image priors is introduced and applied to Bayesian image restoration. Total Variation (TV) image prior preserves edge structure while imposing smoothness on the solutions. However, it does not perform well in textured areas. To alleviate this problem we propose to combine TV with the Poisson Singular Integral (PSI) image prior, which is able to preserve image textures. The proposed method utilizes a bound for the TV image model based on the majorization-minimization principle, and performs maximum a posteriori Bayesian inference. In the experimental section the proposed approach is tested on synthetically degraded images with different levels of spatial activity and areas with different types of texture. Since the proposed method depends on a set of parameters, an analysis, about their impact on the final restorations, is carried out.
AB - In this paper a new combination of image priors is introduced and applied to Bayesian image restoration. Total Variation (TV) image prior preserves edge structure while imposing smoothness on the solutions. However, it does not perform well in textured areas. To alleviate this problem we propose to combine TV with the Poisson Singular Integral (PSI) image prior, which is able to preserve image textures. The proposed method utilizes a bound for the TV image model based on the majorization-minimization principle, and performs maximum a posteriori Bayesian inference. In the experimental section the proposed approach is tested on synthetically degraded images with different levels of spatial activity and areas with different types of texture. Since the proposed method depends on a set of parameters, an analysis, about their impact on the final restorations, is carried out.
KW - Bayesian image restoration
KW - Deblurring
KW - Poisson Singular Integral
KW - Total Variation
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M3 - Conference contribution
AN - SCOPUS:84901369401
SN - 9780992862602
T3 - European Signal Processing Conference
BT - 2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013
PB - European Signal Processing Conference, EUSIPCO
T2 - 2013 21st European Signal Processing Conference, EUSIPCO 2013
Y2 - 9 September 2013 through 13 September 2013
ER -