2D-Discrete Walsh Wavelet Transform for Image Compression with Arithmetic Coding

with the increasing demand of storage and transmission of digital images, image compression is now become an essential applications for storage and transmission. This paper proposes a new scheme for image compression using DWT (Discrete Wavelet Transform) taking into account sub-band features in the frequency domains. Method involves two steps firstly a two levels discrete wavelet transforms on selected input image. The original image is decomposed at different 8x8 blocks, after that apply 2D-Walsh-Wavelet Transform (WWT) on each 8x8 block of the low frequency sub-band. Firstly dividing each sub-band by a factor and then apply Arithmetic Coding on each sub-band independently. Transform each 8x8 block from LL2, and then divide each block 8x8 separated into; DC value and compressed by Arithmetic coding.