Noncausal predictive image coding

Peifang Zhou

doi:10.1117/12.216352

11 August 1995 Noncausal predictive image coding

Peifang Zhou

Proceedings Volume 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing; (1995) https://doi.org/10.1117/12.216352
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

This paper presents an application of Markov field theory to image coding. First we use Markov random fields to model the correlation in the image intensity fields. We then propose a noncausal predictive image coding scheme in which the estimation of present pixel is based on both past and future neighboring pixels. A decoding algorithm is proposed to perfectly reconstruct the image from estimation residuals at the decoder. Open-loop and closed-loop quantizer structures are implemented for noncausal prediction and performances are compared with conventional DPCM predictive coding.

Citation Download Citation

Peifang Zhou "Noncausal predictive image coding", Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); https://doi.org/10.1117/12.216352

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