光学精密工程2011，Vol.19Issue(8)：1982-1989,8.DOI:10.3788/OPE.20111908.1982
运动模糊退化图像的双字典稀疏复原
Dual dictionary sparse restoration of blurred images
摘要
Abstract
An image restoration method based on a dual dictionary was presented under the framework of sparse theory,and the choice of overcomplete dictionaries and the implementation of iteration methods were analyzed. Firstly, the degradation and the restoration models in the sparse theory were established, then the dictionary constructed by Haar coefficients was used to sparse the blurred image and shrink the image with Parallel Coordinate Decent (PCD) iteration algorithm to obtain the elementary deblurred image,in which the blur was removed efficiently, but the noise was weighted and added. For removing the weighted noise, the secondary dictionary from an image database was trained to shrink the deblurred image and get the final result. The results shows that the proposed method can restore the motion-blurred image efficiently, remove motion blur and noise and reserve the edge detail in some extents. Finally the two-level sparse optimization model was expanded and a new idea for the image restoration was presented under the sparse framework.关键词
图像复原/稀疏表示/冗余字典/Haar小波/范数/迭代收缩算法Key words
image restoration/ sparse representation/ overcomplete dictionary/ Haar wavelet/ norm/ iteration shrink/threshold algorithm分类
信息技术与安全科学引用本文复制引用
冯亮,王平,许廷发,石明珠,赵峰..运动模糊退化图像的双字典稀疏复原[J].光学精密工程,2011,19(8):1982-1989,8.基金项目
国家自然科学基金重点项目(科学仪器专项)(No.61027002) （科学仪器专项）
国家973重点基础研究发展计划资助项目(No.2009CB72400603) （No.2009CB72400603）
国家自然科学基金资助项目(No.60972100) （No.60972100）
