Improved decoding of compressed images received over noisy channels

Author

O´Rourke, T.P. ; Stevenson, R.L. ; Yih-Fang Huang ; Costello, D.J., Jr.

Author_Institution

Dept. of Electr. Eng., Notre Dame Univ., IN, USA

Volume

2

fYear

1995

fDate

23-26 Oct. 1995

Firstpage

65

Abstract

This paper presents an image communication system with improved decoding of compressed image information. A convolutional code protects the compressed image information from channel noise while a Reed-Solomon outer code gives additional protection to the critical image header information. A post-processor detects uncorrected channel errors in the reconstructed image and feeds error location information to a list-based iterative trellis decoder. This list-based decoder provides significant improvement in image quality. Experimental results are given for varying channel SNR and for varying bit rate.

Keywords

Reed-Solomon codes; convolutional codes; data compression; decoding; error detection codes; image coding; image reconstruction; interference suppression; iterative methods; trellis codes; visual communication; Reed-Solomon outer code; SNR; bit rate; channel errors; channel noise; compressed images; convolutional code; decoding; error location information; image communication system; image header information; image quality; list-based iterative trellis decoder; noisy channels; post-processor; reconstructed image; Bit rate; Convolutional codes; Feeds; Image coding; Image communication; Image quality; Image reconstruction; Iterative decoding; Protection; Reed-Solomon codes;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC, USA

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537416

Filename

537416