scholarly journals Survey on Comparative Analysis of Various Image Compression Algorithms with Singular Value Decomposition

2016 ◽  
Vol 133 (6) ◽  
pp. 18-21
Author(s):  
Poonam Dhumal ◽  
S. S.
Keyword(s):  
Comparative Analysis ◽  
Singular Value Decomposition ◽  
Image Compression ◽  
Singular Value ◽  
Compression Algorithms ◽  
Value Decomposition

scholarly journals Image Compression Based on Block SVD Power Method

2019 ◽  
Vol 29 (1) ◽  
pp. 1345-1359
Author(s):  
Khalid El Asnaoui
Keyword(s):  
Singular Value Decomposition ◽  
Image Compression ◽  
Error Resilience ◽  
Singular Value ◽  
Network Storage ◽  
Power Method ◽  
Compression Algorithms ◽  
Compression Performance ◽  
Value Decomposition ◽  
And Storage

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.

Lossy image compression using singular value decomposition and wavelet difference reduction

2014 ◽  
Vol 24 ◽  
pp. 117-123 ◽  
Author(s):  
Awwal Mohammed Rufai ◽  
Gholamreza Anbarjafari ◽  
Hasan Demirel
Keyword(s):  
Singular Value Decomposition ◽  
Image Compression ◽  
Singular Value ◽  
Value Decomposition

Image Compression Using Singular Value Decomposition

2019 ◽  
Vol 67 (8) ◽  
pp. 74-81
Author(s):  
Gowri P ◽  
Senbaga Priya K ◽  
Hari Prasath R K ◽  
Pavithra S
Keyword(s):  
Singular Value Decomposition ◽  
Image Compression ◽  
Singular Value ◽  
Value Decomposition

Color Image Compression Using Block Singular Value Decomposition

2013 ◽  
Vol 303-306 ◽  
pp. 2122-2125
Author(s):  
Peng Fei Xu ◽  
Hong Bin Zhang ◽  
Xin Feng Wang ◽  
Zheng Yong Yu
Keyword(s):  
Singular Value Decomposition ◽  
Image Compression ◽  
Basic Principle ◽  
Color Image ◽  
Singular Value ◽  
Matrix Structure ◽  
Compression Scheme ◽  
The Matrix ◽  
Value Decomposition ◽  
Color Image Compression

This paper looks at the application of Singular Value Decomposition (SVD) to color image compression. Based on the basic principle and characteristics of SVD, combined with the image of the matrix structure. A block SVD-based image compression scheme is demonstrated and the usage feasibility of Block SVD-based image compression is proved.

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