ROBUST TRANSMISSION OF COMPRESSED IMAGES OVER NOISY GAUSSIAN CHANNELS
Download:
|
|
by Thomas P. O'rourke, Robert L. Stevenson, Yih-fang Huang, Lance C. Perez, Daniel J. Costello
ftp://lisa.ee.nd.edu/pub/rls/papers/icassp95-orourke.ps.Z
Add To MetaCart
Abstract:
Many image communication systems have constraints on bandwidth, power and time which prohibit transmission of uncompressed raw image data. Compressed image formats, however, are extremely sensitive to bit errors which can seriously degrade the quality of the image at the receiver. A new list-based iterative trellis decoder is proposed which accepts feedback from a post-processor which can detect channel errors in the reconstructed image. Experimental results are shown which indicate the new decoder provides significant improvement over the standard Viterbi decoder.
Citations
| 36 | Improved image decompression for reduced transform coding artifacts – O’ROURKE, STEVENSON - 1995 |
| 15 | Reduction of coding artifacts in transform image coding – Stevenson - 1993 |
| 7 | Determinate state convolutional codes – Collins, Hizlan - 1993 |
