Wavelet-Based Directional Structural Distortion Model for Image Quality Assessment

被引：0

作者：

Cheng G. ^{[1
,2
]}

Cheng L. ^{[1
]}

Li Y. ^{[1
]}

机构：

[1] School of Science, National University of Defense Technology, Changsha

[2] Department of Mathematics, National University of Singapore

来源：

Pattern Recognition and Image Analysis | 2010年 / 20卷 / 3期

关键词：

Directional structural similarity; Human visual system; Image quality assessment; Wavelet transform;

D O I：

10.1134/S1054661810030041

中图分类号：

学科分类号：

摘要：

It is a challenging work to find an efficient metric of image quality assessment, which is an important problem for many image processing tasks. In this paper, we propose a novel wavelet-based directional structural distortion model for image quality assessment, which explores the geometric structural features of natural image. The experimental results upon image database show that our proposed method is in accordance with characteristic of human visual system and has better consistency with the subjective assessment of human beings than current image quality assessment algorithms. © 2010 Pleiades Publishing, Ltd.

引用

页码：286 / 292

页数：6

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