Higher Order Data Fidelity Norm for Enhanced Visual Quality of Restored Images

摘要：

This paper proposes using higher order norms as the measure for data fidelity to improve perceived visual quality of restored images. It constructs a generic data fidelity norm that can accommodate a variety of possible norms and then casts the corresponding regularized image restoration as the minimization of an energy functional, whose minimization through steepest decent leads to the restoration PDE. Numerical simulation indicates that L1 norm delivers the worst visual quality and PSNR. While L2 norm produces the best PSNR, L3 and L4 norms provide better visual quality in terms of sharper edges and smoother smooth areas. It seems that visual quality improves as the order of data fidelity norm increases.

关键词： image restoration data fidelity measure regularization order of norm

作者: Wenhua Ma

作者单位: School of Informatics Guangdong University of Foreign Studies Guangzhou, Guangdong, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1607-1610

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）