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A new image deblurring algorithm with less ringing artifacts via error variance estimation and soft decision

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4 Author(s)
Xiong, Ruiqin ; Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China ; Wenpeng Ding ; Ma, Siwei ; Wen Gao

Image deblurring is an ill-posed linear inverse problem. Most traditional algorithms suffer from severe ringing artifacts. Recent approaches handle this issue by regularization techniques based on assumed image prior models. This paper presents a new method to reduce the ringing artifacts, without introducing any image prior models. For this purpose, we revisit the deblurring problem, using a probabilistic graph to model the image formation process. We establish the link between iterative back-projection and belief propagation and show that the ringing artifacts are caused by error propagation. Based on these analysis, we introduce a method to measure the variance of an estimation image and further propose an error-variance aware deblurring algorithm. Experimental results demonstrate that the proposed algorithm is very effective in suppressing the ringing artifacts.

Published in:

Image Processing (ICIP), 2011 18th IEEE International Conference on

Date of Conference:

11-14 Sept. 2011