Color image compression Using JPEG2000 with adaptive color space transform

This paper presents a study of color image compression based JPEG 2000 with color space transform and comparison with JPEG compression. The basis for the JPEG algorithm is the Discrete Cosine Transform (DCT) which extracts spatial frequency information from the spatial amplitude samples. These frequency components are then quantized to eliminate the visual data from the image that is least perceptually apparent, thereby reducing the amount of information that must be stored. Finally, the redundant properties of the quantized frequency samples are exploited through Huffman coding to produce the compressed representation. The JPEG-2000 which is based on the wavelet transform is a promising image compression technique expected to replace the current discrete cosine transform based compression known as JPEG. The approach based on JPEG 2000 has better compression performance. It has better compression ratio, good PSNR and low mean square error compared to JPEG compression.