Approach to Optimizing Restoration of Motion Blur Images with Robust Blind Deconvolution Based on New Cepstrum and Total Variation
Blind deconvolution algorithms for blur images have been in widespread use for a decade. However most of the methods suffer from issues like processing speed defects,robustness,ill-posedness. In view of the current research for blur images ,a fast,robust blind deconvolution algorithm based on new cepstrum and total variation is being proposed in this paper. This new method can preserve image details and textures effectively. Compared with other restoration methods for motion blurred images,this new approach is characterized with good properties that no prior knowledge is required and exhibits good robustness characteristics due to use of new cepstrum. Furthermore,this new robust cepstrum-based PSF identification method is combined with the fast robust total variation-based restoration method to form a new algorithm that produces high fidelity results in image restoration. Experiment results with both artificial blurred images and natural blurred images which verify the outstanding processing effects are also reported.
Blind deconvolution cepstrum high fidelity total variation restoration of blurry image
Yuan-min Liu Lian-fang Tian
School of Automation Science and Engineering South China University of Technology Guangzhou,Guangdong 510640,P.R. China
国际会议
杭州
英文
554-558
2012-03-23（万方平台首次上网日期，不代表论文的发表时间）