Image compression by using Walsh and Framelet transform

Abstract EN

In this paper, Framelet and Walsh transform are proposed for transformation, and then using arithmetic coding for compress an image.

The goal is to achieve higher compression ratio by applying two levels Framelet transform (FLT), and then apply 2D Walsh-Hadamard transform (WHT) on each 8x8 block of the low frequency sub-band, while all other sub-bands are ignored.

Experimental results show that the proposed algorithm gets best possible solution for tradeoff between compression ratio (size of image) and quality of compressed image, Peak Signal to Noise Ratio (PSNR).

The simulation was carried using MATLAB software package version 2014.

In this work, experiments were carried out on the gray scale and colored images