Real-time restoration of rotational blurred image using gradient-loading

作     者：韩超阳 李建勋 陈萧 朱振幅 

作者机构：Department of AutomationShanghai Jiao Tong University Optical Signature of Targets and Environments Key Laboratory of National Defense Science and Technology 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2008年第6卷第5期

页      面：334-337页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080203[工学-机械设计及理论] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0702[理学-物理学] 

基　　金：the National Key Lab-oratory Scientific Foundation of Optical Signature of Targets and Environments and Cultivation Fund of the Key Scientific and Technical Project Ministry of Educa-tion of China (No.706022). 

主　　题：Chlorine compounds Constrained optimization Curve fitting Degradation Geodesy Least squares approximations Repair Restoration Signal to noise ratio 

摘      要：The key to the restoration of rotational motion blurred image is how to restore the image under a low cost and to correct the irreversibility of the degradation function matrix. Based on the special qualities of degradation function matrix and precise deduction in space-domain, we present a new approach using gradient-loading for restoration of rotational blurred image. By easily adding a gradient operator, the irreversibility of the original matrix is corrected and can be applied for inverse filtering then. Gradient- loading is the optimized approach which combines the advantages of both the approaches using constrained least square filtering and traditional diagonal-loading. Compared with the approach using least square filtering, its peak signal-to-noise ratio （PSNR） is improved from 3.18 to 6.46 dB, while the computing time is reduced to 1/2 - 1/3. Experimental results demonstrate the effectiveness, noise-resistibility, robustness, and low complexity of this approach, which make it more suitable for real-time environment.