Abstract
Image compression is process to remove the redundant information from the image so that only essential information are stored the storage size, transmission bandwidth and transmission time. In this paper comparative analysis of gray scale image compression is done by three different methods that are Daubechies Transform, Haar Transform and Biorthogonal Transform. Experimental results demonstrate that the Daubechies algorithm is more efficient for PSNR and MSE while Haar Wavelet Transform provides the better compression ratio.
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