A Modified Unsharp Masking Method Using Particle Swarm Optimization

摘要：

Unsharp Masking is an effective and simple method of contrast enhancement. This paper explores the Unsharp Mask using the Laplacian Operator. The proposed method optimizes the Laplacian coefficient, a, and the Unsharp Masks gain by maximizing the information content The optimization process used was Multiobjective Particle Swarm Optimization. The proposed method was applied on both a global and local scale. The results show that the proposed method outperforms the classic Unsharp Masking method. The method is intended for gray-level images but can be applied to color images in general.

关键词： image enhancement contrast enhancement unsharp masking Laplacian Operator Particle Swarm Optimization entropy

作者: C. L. D. A. Mai M. T. T. Nguyen N. M. Kwok

作者单位: School of Mechanical and Manufacturing Engineering The University of New South Wales, Sydney, Australia

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 661-665

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）