Two-Dimensional DPCM Image Coding Based on an Assumed Stochastic Image Model

D. G. Daut; R. W. Fries; J. W. Modestino

doi:10.1109/TCOM.1981.1095135

Two-Dimensional DPCM Image Coding Based on an Assumed Stochastic Image Model

D. G. Daut, R. W. Fries, J. W. Modestino

Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

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	https://doi.org/10.1109/TCOM.1981.1095135
State	Published - Sep 1981

ASJC Scopus subject areas

Electrical and Electronic Engineering

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