数字编码彩色图像的感知质量度量

1996 8th European Signal Processing Conference (EUSIPCO 1996) Pub Date : 1996-09-01 DOI:10.5281/ZENODO.36035

C. Lambrecht, J. Farrell

{"title":"数字编码彩色图像的感知质量度量","authors":"C. Lambrecht, J. Farrell","doi":"10.5281/ZENODO.36035","DOIUrl":null,"url":null,"abstract":"In this paper, a computational metric that incorporates many aspects of human vision and color perception to predict the quality of color coded images is presented. The proposed distortion measure is built on opponent-colors theory and on a multi-channel model of spatial vision. The metric has been validated by psychophysical data on 400 images and two human observers.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"81","resultStr":"{\"title\":\"Perceptual quality metric for digitally coded color images\",\"authors\":\"C. Lambrecht, J. Farrell\",\"doi\":\"10.5281/ZENODO.36035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a computational metric that incorporates many aspects of human vision and color perception to predict the quality of color coded images is presented. The proposed distortion measure is built on opponent-colors theory and on a multi-channel model of spatial vision. The metric has been validated by psychophysical data on 400 images and two human observers.\",\"PeriodicalId\":282153,\"journal\":{\"name\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"81\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.36035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.36035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 81

摘要

本文提出了一种结合人类视觉和色彩感知的计算度量来预测彩色编码图像的质量。所提出的失真测量方法是建立在对立色理论和多通道空间视觉模型之上的。该指标已通过400张图像和两名人类观察者的心理物理数据得到验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Perceptual quality metric for digitally coded color images

In this paper, a computational metric that incorporates many aspects of human vision and color perception to predict the quality of color coded images is presented. The proposed distortion measure is built on opponent-colors theory and on a multi-channel model of spatial vision. The metric has been validated by psychophysical data on 400 images and two human observers.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

1996 8th European Signal Processing Conference (EUSIPCO 1996)

自引率

0.00%

发文量