基于正则化方向失真的压缩图像质量评价

被引:4
作者
程光权
成礼智
机构
[1] 国防科学技术大学理学院
关键词
图像质量评价; 正则化方向失真; 图像压缩; 人眼视觉系统;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
图像质量评价是图像和视频处理系统中的基本算法。该文在分析人眼视觉系统对图像感知特点的基础上,结合二维图像的几何本征特征研究,提出了一种新型的基于图像正则化方向失真的完全参考质量评价算法。该方法计算简单,物理意义明确。仿真试验结果表明,该方法符合人眼视觉系统特性,所得到的图像质量客观评价结果与主观评价结果之间具有更好的一致性。
引用
收藏
页码:1316 / 1320
页数:5
相关论文
共 9 条
[1]  
Live image quality assessment database release. Sheikh H R,Wang Z,Bovik A Cet al. http://live.ece.utexas.edu/research/quality .
[2]  
Image quality assessment: from error visibility to structural similarity. Wang Zhou,Bovik AC,Sheikh HR,et al. IEEE Transactions on Image Processing . 2004
[3]  
Orthogonal bandelet bases for geometric im-ages approximation. St′ephane Mallat,Gabriel Peyr′e. Communications of the ACM . 2008
[4]  
A perceptually motivated three-component image model-part I ; description of the model. Ran X,Farvardin N. IEEE Transactions on Image Processing . 1995
[5]  
Mean squared error:Love it or leave it?-A new look at signal fidelity measures. Wang Z,Bovik A C. IEEE Signal Processing Magazine . 2009
[6]  
Structural similarity quality metrics in a coding context:Exploring the space of realistic distortions. Brooks A C,Zhao X,Pappas T N. IEEE Transactions on Image Processing . 2008
[7]  
Gradient Based Structural Similarity for Image Quality Assessment. Guan-Hao Chen,Chun-Ling Yang. IEEEICIP . 2006
[8]  
Final report from the video quality experts group on the validation of objective models of video quality assessment. VQEG. http://www.vqeg.org .
[9]  
A statistical evaluation of recent full reference image quality assessment algorithms. Sheikh H R,Sabir M F,Bovik A C. IEEE Transactions on Image Processing . 2006