Defocus blurred image restoration by minimizing second-order central moment

摘要：

A new blur identification and restoration method is presented. We observe that blurring increases the second-order central moment (SOCM) of image and introduce a new parametric blur identification method by minimizing SOCM. The method applied to finite support images, in which the scene consists of a finite extent object against a uniformly black, grey or white background. The method has been validated by direct comparisons with other methods on simulated images. Our experiments show that the SOCM minimization measurements match well with methods than maximize PSNR.

关键词： Defocus blur blur identification image restoration second-order central moment.

作者: Sheng Zhong Mingzhi Jin Luxin Yan Tianxu Zhang

作者单位: National Key Laboratory of Science and Technology on Multispectral Information Processing,Institute National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-7

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）