Regularised Iterative Deconvolution Algorithms for Image Restoration Based on a Topkis-Voinott Approach

摘要：

This paper addresses a regularized deconvolution technique used on image restoration by an iterative Topkis-Voinott approach. In order to suppress background noise during restoration, a Lagrange parameter is introduced for regularizing the deconvolution produces. A mathematics model is described in this paper and the artificial and real microscope restored images are compared to other algorithms with different noise level. The experiment proves, by giving a reasonable PSF, this algorithm is robust.

关键词： Deconvolution Image restoration Topkis-Voinott

作者: Huang Zhidan Zhu Daan

作者单位: Computer Center, Shenyang Normal UniversityShenyang, China School of Computing Science, University of East Anglia Norwich NR4 7TJ,England

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）