scholarly journals Resolutıon Enhancement Based Image Compression Technique using Singular Value Decomposition and Wavelet Transforms

10.5772/61335 ◽  
2015 ◽  
Author(s):  
Gholamreza Anbarjafari ◽  
Pejman Rasti ◽  
Morteza Daneshmand ◽  
Cagri Ozcinar
Keyword(s):  
Singular Value Decomposition ◽  
Image Compression ◽  
Wavelet Transforms ◽  
Resolution Enhancement ◽  
Singular Value ◽  
Compression Technique ◽  
Value Decomposition

scholarly journals A singular value decomposition based approach for the compression of encrypted images

2018 ◽  
Vol 7 (3) ◽  
pp. 1332
Author(s):  
Hiyam Hatem ◽  
Raed Majeed ◽  
Jumana Waleed
Keyword(s):  
Singular Value Decomposition ◽  
Data Storage ◽  
Wavelet Transforms ◽  
Random Permutation ◽  
Singular Value ◽  
Security Evaluation ◽  
Discrete Wavelet ◽  
Compression Technique ◽  
Encrypted Images ◽  
Value Decomposition

Image compression is a process which supplies a good solution to the current problems of data storage by reducing redundancy, and irrelevance within images. This paper provides effective encryption then compression technique applied for compressing images within the entire domain of encryption. The Singular Value Decomposition (SVD) application has been described for the results of compression from an image encrypted based on Discrete wavelet transforms (DWT). Initially, the original image has been decomposed into a pyramid of wavelet by utilizing DWT. The DWT subbands are enciphered via a pseudo random number and pseudo random permutation. Then, encrypted images are compressed evaluated by the SVD method which encompasses the corresponding singular values and singular vectors. The performance evaluated on several images and the experimental results and security evaluation is given to validate the explained goals of high security and good compression performance.   

scholarly journals Singular Value Decomposition Based Image Coding for Achieving Additional Compression to JPEG Images

2012 ◽  
pp. 1-7
Author(s):  
Rehna. V. J ◽  
Jeyakumar. M. K
Keyword(s):  
Singular Value Decomposition ◽  
Image Compression ◽  
Image Coding ◽  
Weather Prediction ◽  
Singular Value ◽  
Underlying Structure ◽  
Storage Space ◽  
Compression Technique ◽  
Jpeg Images ◽  
Value Decomposition

Computer technology these days is most focused on storage space and speed. Considerable advancements in this direction can be achieved through the usage of digital image compression techniques. In this paper we present a well studied singular value decomposition based JPEG image compression technique. Singular Value Decomposition is a way of factorizing matrices into a series of linear approximations that expose the underlying structure of the matrix. SVD is extraordinarily useful and has many applications such as data analysis, signal processing, pattern recognition, objects detection and weather prediction. An attempt is made to implement this method of factorization to perform second round of compression on JPEG images to optimize storage space. Compression is further enhanced by the removal of singularity after the initial compression performed using SVD. MATLAB R2010a with image processing toolbox is used as the development tool for implementing the algorithm.

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
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