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Image compression by using new wavelet bi-orthogonal filter coefficients

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2 Author(s)
Vimal Kumar ; Department of Electronics and Communication Engineering, Sobhasaria Engineering College, Sikar, India ; Surendra Kumar Agarwal

In this paper new wavelet bi-orthogonal filter coefficients for wavelet decomposition and reconstruction of image are introduced for better image compression, when the image is compressed by using these filter coefficient in DWT-SPIHT schema then it perform better than DWT-SPIHT schema with wavelet 9/7 filter and wavelet 5/3 filter. The compression result by using these filter coefficient show that the reconstructed image has higher PSNR and low MSE than wavelet 9/7 filter and wavelet 5/3 filter.

Published in:

Signal Processing, Computing and Control (ISPCC), 2012 IEEE International Conference on

Date of Conference:

15-17 March 2012