Title :
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
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;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112282
