Structure Analysis Image Quality Measurement

摘要：

In this paper, a novel image quality assessment, called Structure Analysis Image Quality Measurement (SAIM), is proposed by evaluating the difference of the distorted image from the reference image on three aspects: the average luminance, edge intensity and orientation. It is sensitive to edge change, which consists well with the perceptual characteristics of human vision. The experiment results demonstrate its superiority over the most popular metrics, such as PSNR and MSSIM, on LIVE Image Quality Assessment Database. And furthermore, SAIM can find a wide application in various fields, because of its capability of estimating the similarity between any two signals.

关键词： image quality structure analysis edge intensity edge orientation

作者: Qian Li Cui Yang HongMei Liu FangFang Zhang

作者单位: School of Technical Physics, Xidian University, Xian Shaanxi, China Faculty of Automation and Information Engineering, Xian University of Technology, Xian Shaanxi, Ch

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 439-443

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）