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A Novel Image Compression Algorithm using Modified Filter Bank


Author : Gaurav Sharma and K.G. Kirar

Pages : 3259-3263
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Abstract

A digital Image is a numeric representation of a two-dimensional signal. Since digital images and video data are inherently voluminous, efficient Image compression techniques are crucial for their archival and transmission. This research paper suggests a novel Image Compression Algorithm employing Modified Wavelet Filter-bank using Kaiser Window. The effectiveness of the new algorithm is justified over various test images. The novel algorithm gives far better results in the terms of Performances Indicators such as Mean Square Error, Peak Signal to Noise Ratio and Compression Ratio. The trade-off between Compression Ratio and PSNR has been reduced by the implementation of this proposed method.

Keywords: Image Compression; Wavelet; Modified Wavelet Filter Bank; PSNR; Compression Ratio, MSE.

Article published in International Journal of Current Engineering and Technology, Vol.5, No.5 (Oct-2015)

 

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