A perceptual measure to predict the visual distinction between two color images

被引：3

作者：

Fdez-Vidal, XR

Garcia, JA ^{[1
]}

Fdez-Valdivia, J

机构：

[1] Univ Granada, Dept Ciencias Computac & IA, ETS Ingn Informat, E-18071 Granada, Spain

[2] Univ Santiago de Compostela, Fac Fis, Dept Fis Aplicada, Santiago De Compostela 15706, Spain

来源：

PATTERN RECOGNITION LETTERS | 1998年 / 19卷 / 12期

关键词：

visual distinction; opponent-colors space; log gabor functions; integral features; sum-of-outputs rule;

D O I：

10.1016/S0167-8655(98)00089-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a perceptual model to predict the visual distinction between a pair of color images which correlates well with the human observer's evaluation. Its basic assumptions are to be in agreement with spatial-frequency channels models quite successful for the detection of Visual patterns. The model was applied to predict the perceived quality of a basic pattern as well as the visibility of the artifacts in JPEG reconstructions. The rank order produced by the PID error and other quantitative measure are compared with the reference rank order as given by a subjective rating performed by photointerpreters. (C) 1998 Elsevier Science B.V. All rights reserved.

引用

页码：1137 / 1152

页数：16

共 10 条

[1]

BRADLEY J, 1994, 15 SOFTWARE

[2] Using models of feature perception in distortion measure guidance [J].