(AIC) is a still image compression system which combines the intra frame block prediction from H.264 with a JPEG-based discrete cosine transform followed by context adaptive binary arithmetic

JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Advanced Image Coding (AIC) is a still image compression system which combines the intra frame block prediction from H.264 with a JPEG-based discrete cosine transform followed by context adaptive binary arithmetic coding (CABAC). It performs much better than JPEG and has the best performance at low bit rates. In this paper, we propose a modified AIC (M-AIC) by replacing the CABAC in AIC with a Huffman coder and an adaptive arithmetic coder. The results are compared with other image compression techniques like JPEG, JPEG2000, JPEG-LS, JPEG-XR and H.264 on various sets of test images. This paper considers only main and (FRExt) high profiles in H.264/AVC I-frame coding, JPEG using baseline method and all the codecs are considered in lossy compression. Simulation results are evaluated in terms of bit-rate, qualityPSNR and structural similarity index (SSIM).