Images corrupted by gaussian noise enhancement via Piecewise Linear Models

摘要：

Noise having Gaussian-like distribution is very often encountered during image acquisition. Tranditional enhancement methods (space domain and frequency domain) can reduce noise, but also are easy to produce blurred edge. So 5-parameter PWL nonlinear transformation is used to enhance image and reduce noise. A satisfactory combination of image enhancement and noise attenuation can be achieved by different parameter settings. Results dealing with images with different noise variance show that the method yields a very effective enhancement of the image data.

关键词： image enhancement PWL nonlinear filters gaussian noise

作者: Xiurong Tian

作者单位: College of Information and Communication Engineering, North University of China Taiyuan, shanxi, 030051 china

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 518-521

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）