ISSN: 0973-7510

E-ISSN: 2581-690X

C. Priya1 and T. Kesavamurthy2
1Karpagam college of Engineering, Coimbatore – 641 032, India.
2PSG College of Technology, Coimbatore – 641 004, India.
J Pure Appl Microbiol. 2015;9(Spl. Edn. Aug.):227-233
© The Author(s). 2015
Received: 06/03/2015 | Accepted: 05/05/2015 | Published: 31/08/2015

Image compression plays a vital role in reducing the storage space and bandwidth for efficient image transmission. This paper proposes an efficient image compression technique using DWT (Discrete Wavelet Transform), SWT (Stationary Wavelet Transform) and SVD (Singular Value Decomposition). In the proposed method, a new LL frequency band is computed using SVD and all the sub bands are reconstructed using ISWT (Inverse Stationary Wavelet Transform). The experimental results of the proposed method yield good compression ratio with resolution requirement and reduces the computational complexity than other traditional techniques.


Image compression, DWT, SWT, SVD

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© The Author(s) 2015. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.