文章基本信息

标题：Multiple Quality Parameters for Image Quality assessment
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作者：Esha Meshram ; Suyash Agrawal
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：7
页码：6950-6955
出版社：IJECS
摘要：There has been an attention is boosted towards extending the IQA which follows two stage structures; in firststage, the reference and compressed images are taken as input by local quality measurement and the second stageadvances it to the pooling stage and provides quality score. In the initial time, various methods such as MSE, PSNR,Correlation and Entropy are most used for the quality evaluation but this does not recommend any structural informationof images. To diminish this restriction and offer structural information, initiative behind organizing this paper toaccomplish most excellent overall performance is to progress the pictographic quality by merging information contentweighting with structural similarity measurement
关键词：Image quality assessment; structural;similarity index measurement(SSIM); Feature extraction;Distortion; Quality index