No-reference quality assessment of JPEG images via a quality relevance map

被引：89

作者：

Golestaneh, S. Alireza ^{[1
]}

Chandler, Damon M. ^{[1
]}

机构：

[1] Laboratory of Computational Perception and Image Quality (CPIQ), School of Electrical and Computer Engineering, Oklahoma State University, Stillwater

来源：

IEEE Signal Processing Letters | 2014年 / 21卷 / 02期

基金：

美国国家科学基金会;

关键词：

Discrete Cosine Transform (DCT); JPEG compressed images; No Reference Image Quality Assessment;

D O I：

10.1109/LSP.2013.2296038

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This letter presents a no-reference quality assessment algorithm for JPEG compressed images (NJQA). Our method does not specifically aim to measure blockiness. Instead, quality is estimated by first counting the number of zero-valued DCT coefficients within each block, and then using a map, which we call the quality relevance map, to weight these counts. The quality relevance map for an image is a map that indicates which blocks are naturally uniform (or near-uniform) vs. which blocks have been made uniform (or near-uniform) via JPEG compression. Testing on various image-quality databases demonstrates that NJQA is either competitive with or outperforms modern competing methods on JPEG images. © 1994-2012 IEEE.

引用

页码：155 / 158

页数：3

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