期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN:2320-9798
电子版ISSN:2320-9801
出版年度:2017
卷号:5
期号:7
页码:13773
DOI:10.15680/IJIRCCE.2017.0507072
出版社:S&S Publications
摘要:Most of the existing Blind image quality assessment techniques can hardly characterize visual qualityperception for various distortion types. The different blind image quality assessment algorithms cannot correlate withfull-reference image quality assessment techniques. So, in this paper we first perform image quality assessment for thefull-reference images on different distortion types and then the quality of the distorted image is found by using theBlind image quality assessment technique. The performance of the blind image quality assessment is compared withthe performance of the full-reference image quality assessment techniques. This paper focuses on the measurement ofquality for the distorted images which are used in the measurement of performance of the full-reference images. Theexperimental results show that algorithm exhibits high correlation with the novel full-reference image quality metricswhen compared with the other Blind image quality metrics.