Reversible compression of HDTV images using median adaptive prediction and arithmetic coding

Author

Martucci, Stephen A.

Author_Institution

Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1990

fDate

1-3 May 1990

Firstpage

1310

Abstract

Methods of compressing HDTV (high-definition television) image sequences are investigated. Best results are achieved by a new combination of median adaptive intraframe prediction and arithmetic coding of the resultant prediction error. Fully reversible compression with low computational complexity is possible. The method has been used to compress the simulated progressive scan HDTV image sequence `Kiel Harbor´ to a rate less than that of an (uncompressed) interlace source. Interlaced HDTV images have been compressed to approximately 55% of their original rate. Intended applications are image storage and full-quality data exchange

Keywords

computational complexity; data compression; decoding; encoding; filtering and prediction theory; high definition television; picture processing; video signals; HDTV images; arithmetic coding; full-quality data exchange; high-definition television; image sequence compression; image storage; interlaced TV images; low computational complexity; median adaptive intraframe prediction; prediction error; reversible compression; simulated progressive scan image sequence; Arithmetic; Computational complexity; Computational modeling; Degradation; HDTV; Image coding; Image sequences; Image storage; Material storage; TV;

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.1990.112371

Filename

112371