IMAGE COMPRESSION BASED ON BIORTHOGONAL WAVELET TRANSFORM

Abstract

A common approach to the color image compression was started by transform the red, green, and blue or (RGB) color model to a desire color model, then applying compression techniques, and finally retransform the results into RGB model. In this paper, a low complexity and efficient coding scheme based on Biorthogonal tab3/5 wavelet filter is proposed. The proposed system consists of the color transform YCbCr, followed by Wavelet (Tab3/5) transform, uniform quantization using Pyramid Quantization, modified Bit map Slicing coding method, and finally Huffman coding to produce the final bit stream. The efficiency performance of the suggested image encoding methods has been evaluated by making comparisons between them and corresponding compression results obtained by applying the compression standard JPEG and JPEG2000.