Image coding with the MAP criterion

Author

Eriksson, Tomas ; Novak, Mirek ; Anderson, John B.

Author_Institution

Dept. of Inf. Technol., Lund Univ., Sweden

fYear

2002

fDate

2002

Firstpage

453

Abstract

Summary form only given. BCJR based source coding of image residuals is investigated. From a trellis representation of the residual, a joint source-channel coding system is formed. Then the BCJR algorithm is applied to find the MAP encoding. MAP and minimized squared error encoding are compared. The novelty of this work is the use of the BCJR algorithm and the MAP criterion in the source coding procedure. The source encoding system described preserves more features than an MSE based encoder. Also, blocking artifacts are reduced. Comparisons may be found in the full paper version (see http://www.it.lth.se/tomas/eriksson_novak_anderson_dcc02.ps, 2001).

Keywords

combined source-channel coding; convolutional codes; image coding; maximum likelihood estimation; mean square error methods; trellis codes; BCJR algorithm; Bahl-Cocke-Jelinek-Raviv algorithm; MAP criterion; convolutional codes; decorrelation procedure; image coding; image residuals; joint source-channel coding; maximum a posteriori probability criterion; minimized squared error encoding; source coding; trellis representation; Data compression; Image coding; Variable speed drives;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 2002. Proceedings. DCC 2002

ISSN

1068-0314

Print_ISBN

0-7695-1477-4

Type

conf

DOI

10.1109/DCC.2002.999996

Filename

999996