Full-reference image quality assessment scheme based on deformed pixel and gradient similarity

被引：4

作者：

Seghir, Zianou Ahmed ^{[1
]}

Hachouf, Fella ^{[2
]}

机构：

[1] Univ Abbes Laghrour Khenchela, Fac Sci & Technol, Dept Comp, Khenchela, Algeria

[2] Mentouri Constantine Univ, Automat & Robot Lab, Constantine, Algeria

来源：

OPTIK | 2015年 / 126卷 / 24期

关键词：

Gradient similarity; Quality assessment; Test image; Distorted pixel measure; EDGE-REGION INFORMATION; STATISTICS;

D O I：

10.1016/j.ijleo.2015.08.132

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Image quality assessment (IQA) is important for numerous image processing measures, such as reproduction, restoration, enhancement,- compression and acquisition. In this paper, a full -reference scheme for image quality assessment is proposed, which supplies more flexibility than previous methods in using edge similarity and distorted pixel measure. First, test and reference images are transformed using distorted pixel measure. And second, we calculate the difference between the two images, which can be used to compute the whole error. Experimental comparisons demonstrate the effectiveness of the proposed method. (C) 2015 Elsevier GmbH. All rights reserved.

引用

页码：5946 / 5951

页数：6

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