Article ; Online: Image Compression Based on Block SVD Power Method
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 1345-
2019 Volume 1359
Abstract: In recent years, the important and fast growth in the development and demand of multimedia products is contributing to an insufficiency in the bandwidth of devices and network storage memory. Consequently, the theory of data compression becomes more ... ...
Abstract | In recent years, the important and fast growth in the development and demand of multimedia products is contributing to an insufficiency in the bandwidth of devices and network storage memory. Consequently, the theory of data compression becomes more significant for reducing data redundancy in order to allow more transfer and storage of data. In this context, this paper addresses the problem of lossy image compression. Indeed, this new proposed method is based on the block singular value decomposition (SVD) power method that overcomes the disadvantages of MATLAB’s SVD function in order to make a lossy image compression. The experimental results show that the proposed algorithm has better compression performance compared with the existing compression algorithms that use MATLAB’s SVD function. In addition, the proposed approach is simple in terms of implementation and can provide different degrees of error resilience, which gives, in a short execution time, a better image compression. |
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Keywords | image compression ; singular value decomposition ; block svd power method ; lossy image compression ; psnr ; Science ; Q ; Electronic computers. Computer science ; QA75.5-76.95 |
Subject code | 518 |
Language | English |
Publishing date | 2019-04-01T00:00:00Z |
Publisher | De Gruyter |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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