Title :
A Novel Image Compression Architecture with proficient Layered scenario
Author :
Kamran, Muhammad ; Qureshi, Suhail Aftab ; Shi, Feng ; Wang, Yizhuo ; Xie, Yumin
Author_Institution :
Dept. of Comput. Sci. & Eng., Beijing Inst. of Technol.
Abstract :
The architecture proposed in this paper performs all inevitable operations effectively to compress the data for image processing. The given behavioral architecture is not only verified algorithmically but also gave clear snapshot of the facts hindering in the efficient operation of data transfer with appropriate results. Moreover, this paper is the continuation of concurrent compression pre coder design to which DCT coders are to be appended for transformation and compression operation. The compression scenario is tackled in the coders by utilizing adaptive Huffman coding scheme. The most distinguishable characteristic of proposed design is the pre-coder attachment to the coders working in any format, i.e., JPEG or MPEG. In either case the results obtained are reliable and significantly appreciable with respect to image quality to support proposed architecture even in a system with variable band widths
Keywords :
Huffman codes; adaptive codes; data compression; discrete cosine transforms; electronic data interchange; image coding; DCT coder; adaptive Huffman coding; behavioral architecture; data transfer; image compression architecture; image processing; proficient layered scenario; Computer architecture; Data engineering; Huffman coding; Image coding; Image segmentation; Pixel; Statistics; Transform coding; Video compression; Videoconference;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.253843