The subject of image compression is always renewed because of its importance in reducing the volume of data; which in turn will be stored in less space and transferred more quickly though the communication channels.
In this paper a low cost color image lossy color image compression is introduced. The RGB image data is transformed to YUV color space, then the chromatic bands U & V are down-sampled using dissemination step. The bi-orthogonal wavelet transform is used to decompose each color subband, separately. Then, the differential pulse-code modulation (DPCM) is used to encodethe Low-Low(LL) subband.The other wavelet subbands are coded using scalar Quantization. Also, the quad tree coding process wasapplied on the outcomes of DPCM and quantization processes. Finally, the adaptive shift coding is applied as high order entropy encoder to remove the remaining statistical redundancy to achieve efficiency in the performance of the compression process.
The introduced system was applied on a set of standard color image, the attained compression results indicated good efficiency in reducing the size while keeping the fidelity level above the acceptable level.