Volume : III, Issue : VII, July - 2013

Still Image Compression by Using New Wavelet BiOrthogonal Filter Coefficients

Swetha K P

Abstract :

In this paper new wavelet bi–orthogonal filter coefficients for wavelet decomposition and reconstruction of image are introduced for better image compression. Digital imaging has had an enormous impact on, scientific and industrial applications. Uncompressed images require considerable storage capacity and transmission bandwidth. The solution to this problem is to compress an image for desired application. Since last two decade the discrete wavelet transform (DWT) has witnessed great success for image compression. The proposed work reviews the various wavelet based image compression techniques. 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 the new proposed filter coefficient in DWT–SPIHT schema then it performs 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 Peak signal–to–noise ratio and low Mean Square Error than wavelet 9/7 filter and wavelet 5/3 filter.

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

SWETHA K P Still Image Compression by Using New Wavelet Bi-Orthogonal Filter Coefficients Indian Journal of Applied Research, Vol.III, Issue.VII July 2013


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