Title :
Compression techniques for still image and motion video
Author :
Leung, S.O. ; Chan, K.L. ; Fung, P.W.
Author_Institution :
Dept. of Electron. Eng., City Polytech. of Hong Kong, Kowloon, Hong Kong
Abstract :
An enormous amount of data is produced when a two-dimensional light intensity function is sampled and quantized to create a digital image. For motion video, the amount of raw data generated is even much larger that practical storage, processing and communication systems are unable to accommodate. Data compression techniques have to be devised to reduce the bandwidth requirement. The objective of this project is to develop compression technique for still image and motion video. Individual still image is compressed, using the Joint Photographic Experts Group (JPEG) algorithm which is commonly employed recently. For full-motion video, the Motion Picture Experts Group (MPEG) algorithm is used. In addition, a novel idea to perform compression of still picture as well as image sequence is developed using the pyramidal approach.<>
Keywords :
analogue-digital conversion; bandwidth compression; data compression; image coding; image sequences; video signals; visual communication; 2D light intensity function; JPEG algorithm; Joint Photographic Experts Group; MPEG algorithm; Motion Picture Experts Group; bandwidth reduction; data compression; digital image; full-motion video; image coding; image sequence; image storage; image transmission; motion video compression; pyramidal approach; quantisation; still image compression; Compression algorithms; Computer graphics; Data compression; Discrete cosine transforms; Frequency; Image coding; Image storage; Quantization; Transform coding; Video compression;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.327998
