A multi-factors approach for image quality assessment based on a human visual system model

被引：34
|
作者：
Ginesu, Giaime [1 ]
Massidda, Francesco [1 ]
Giusto, Daniele D. [1 ]
机构：
[1] Univ Cagliari, Dept Elect & Elect Engn, I-09123 Cagliari, Italy
来源：
SIGNAL PROCESSING-IMAGE COMMUNICATION | 2006年 / 21卷 / 04期
关键词：
image quality assessment; human visual system;
D O I：
10.1016/j.image.2005.11.005
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a multi-factor full-reference image quality index is presented. The proposed visual quality metric is based on an effective Human Visual System model. Images are pre-processed in order to take into account luminance masking and contrast sensitivity effects. The proposed metric relies on the computation of three distortion factors: blockiness, edge errors and visual impairments, which take into account the typical artifacts introduced by several classes of coders. A pooling algorithm is used in order to obtain a single distortion index. Results show the effectiveness of the proposed approach and its consistency with subjective evaluations. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码：316 / 333
页数：18
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