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
Abstract

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.

Keywords

Image compression, DWT, SWT, SVD

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