Objective Image Quality Measure Based on Weber-Weighted Mean Absolute Error

摘要：

This paper introduces three simple image quality measures based on Weber law.After normalizing the original and distorted images,the absolute error between them is found.The final index is a pixel by pixel weighted sum of errors.The maximum between the original image pixel and its negative is the inverse of the weighting factor.Results indicate a better correlation with human perception compared to conventional mean square error MSE.Despite the simplicity of the proposed model,it compares well with other complex schemes in the literature and its complementary outcome is promising in improving those schemes.

作者: Salah Ameer Otman Basir

作者单位: Department of Electrical and Computer Engineering University of Waterloo,Waterloo,Ontario,Canada N2L 3G1

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）