Title :
Modified Advanced Image Coding
Author :
Zhang, Zhengbing ; Veerla, Radhika ; Rao, K.R.
Author_Institution :
Electron. & Inf. Coll., Yangtze Univ., Jingzhou, China
Abstract :
JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Several papers have been published to improve the performance of JPEG. Advanced image coding (AIC) combines intra frame block prediction from H.264 with a JPEG-style DCT, followed by context adaptive binary arithmetic coding (CABAC) used in H.264. It performs much better than JPEG and close to JPEG-2000. 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 simulation results demonstrate that M-AIC performs much better than JPEG, close to JPEG-2000 and AIC, and a little bit better than AIC in some low bit rate range.
Keywords :
Huffman codes; adaptive codes; arithmetic codes; binary codes; data compression; discrete cosine transforms; image coding; visual communication; DCT; H.264; Huffman coder; JPEG; advanced image coding; context adaptive binary arithmetic coding; image compression; image storage; image transmission; Arithmetic; Bit rate; Discrete cosine transforms; Image coding; Image converters; Image storage; Iterative algorithms; PSNR; Standards development; Transform coding; DCT; Huffman; JPEG; adaptive arithmetic coding; advanced image coding; block prediction;
Conference_Titel :
Complexity and Intelligence of the Artificial and Natural Complex Systems, Medical Applications of the Complex Systems, Biomedical Computing, 2008. CANS '08. First International Conference on
Conference_Location :
Targu Mures, Mures
Print_ISBN :
978-0-7695-3621-7
DOI :
10.1109/CANS.2008.21
