Digital compression algorithms for HDTV transmission

Author

Adkins, Kenneth C. ; Shalkhauser, Mary Jo ; Bibyk, Steven B.

Author_Institution

Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

fYear

1990

fDate

1-3 May 1990

Firstpage

1022

Abstract

Digital compression of video images is a possible avenue for HDTV transmission. Compression needs to be optimized while picture quality remains high. Two techniques for compressing digitized images, vector quantization and enhanced differential pulse code modulation, are explained, and comparisons are drawn between the human vision system and artificial compression techniques. Suggestions for improving compression algorithms through the use of neural and analog circuitry are given

Keywords

bandwidth compression; data compression; encoding; high definition television; neural nets; pulse-code modulation; HDTV transmission; VQ; analog circuitry; artificial compression techniques; compression of video images; digital compression algorithms; enhanced DPCM; enhanced differential pulse code modulation; human vision system; neural circuitry; picture quality; techniques for compressing digitized images; vector quantization; Compression algorithms; Digital modulation; HDTV; Humans; Image coding; Modulation coding; Pulse compression methods; Pulse modulation; Vector quantization; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., IEEE International Symposium on

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/ISCAS.1990.112282

Filename

112282