Abstract
A new approach to the design of the feedback predictor in two-dimensional (2-D) DPCM encoder is presented. This approach is based upon an assumed stochastic iamge model which exhibits the predominant and pronounced edge structure typical of real-world imagery and is in distinction from the conventional approach based upon 2-D autoregressive modeling assumptions. The performance of the resulting DPCM encoder is shown to offer significant performance advantages over existing DPCM design approaches at transmission rates of 2 bits/pixel or less. Furthermore, this new approach results in improved ability to cope with channel errors.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1365-1374 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Communications |
| Volume | 29 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 1981 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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Daut, D. G., Fries, R. W., & Modestino, J. W. (1981). Two-Dimensional DPCM Image Coding Based on an Assumed Stochastic Image Model. IEEE Transactions on Communications, 29(9), 1365-1374. https://doi.org/10.1109/TCOM.1981.1095135