Compression techniques for still image and motion video

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering"
PublisherPubl by IEEE
Pages365-368
ISBN (Print)780312333
Publication statusPublished - 1993

Conference

TitleProceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)
CityBeijing, China
Period19 - 21 October 1993

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 projects 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.H

Citation Format(s)

Compression techniques for still image and motion video. / S.O, Leung; Chan, K. L.; Fung, P. W.

Proceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering". Publ by IEEE, 1993. p. 365-368.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)