文章基本信息

标题：An efficient technique for image compression and quality retrieval using matrix completion
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作者：Ranjeet Kumar ; Utpreksh Patbhaje ; A. Kumar 等
期刊名称：Journal of King Saud University @?C Computer and Information Sciences
印刷版ISSN：1319-1578
出版年度：2019
页码：1-9
DOI：10.1016/j.jksuci.2019.08.002
出版社：Elsevier
摘要：In this paper, an efficient technique for image compression and quality retrieval using matrix completion is presented. The proposed technique is based on low-rank matrix completion using singular value truncation and thresholding. Here, an image is decomposed using singular value decomposition (SVD) to obtain a low rank of image data, which is approximated in compressed form. Later on, singular value thresholding algorithm is exploited to retrieve visual quality of the compressed image. The presented method is easily applicable for various visual characteristics of the image for different compression efficiency. A detailed analysis has been presented to show the efficiency of proposed method in term of compression as well as quality retrieval. It is evident from experimental results that a maximum of 80% compression is achieved with acceptable visual quality as per human vision system (HVS).
关键词：Image compression ; Retrieval ; SVT ; Matrix completion ; Big data