Title :
Robust source coding of images for very noisy channels
Author :
Marvel, Lisa M. ; Khayrallah, Ali S. ; Boncelet, Charles G., Jr.
Author_Institution :
Army Res. Lab., Aberdeen Proving Ground, MD, USA
fDate :
4/1/1999 12:00:00 AM
Abstract :
Robust source coding provides the compression and noise mitigation necessary for image transmission over noisy channels. Two methods are compared-differential pulse code modulation (DPCM) and predictive trellis coded quantisation (PTCQ)-incorporating linear and nonlinear filters. Findings show that although PTCQ has better rate-distortion properties, DPCM provides better performance in noise. Additionally, the nonlinear filter yields better images
Keywords :
differential pulse code modulation; filtering theory; image coding; nonlinear filters; prediction theory; source coding; trellis coded modulation; DPCM; PTCQ; differential pulse code modulation; image coding; image compression; image transmission; linear filters; noise mitigation; nonlinear filters; predictive trellis coded quantisation; rate-distortion properties; robust source coding; very noisy channels; Delay effects; Delay estimation; Image coding; Image communication; Noise robustness; Nonlinear filters; Signal processing; Signal processing algorithms; Source coding; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on
