Variational adaptive image denoising model based on human visual system

摘要：

A variational image adaptive denoising model based on human visual system is proposed by introducing control parameter p which can determine the diffusion intensity to Total Variation (TV) model. The model can adaptively select the value of parameter p according to human visual system noise visibility value of each pixel which makes diffusion intensity close to edges smaller than those far away from edges. For this method is more consistent with human perception, human eyes can perceive the improvement of image quality intuitively. Numerical experiments show that the proposed method can overcome staircase effect, remove the noise while preserving significant image details and better performance has been achieved.

关键词： image denoising variation model human visual system adaptive denoising

作者: Wenjun Li Chanjuan Liu Hailin Zou

作者单位: School of Information Science and Engineering, Ludong University, Yantai, China 264025 School of Mechanical Electronic and Information Engineering, China University of Mining and Technolo

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: 1-6

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）