Title :
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
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC, USA
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537416
