基于吉布斯分布的马尔可夫随机场模型的噪声图像分割

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1987-04-06 DOI:10.1109/ICASSP.1987.1169695

M. El-Gabali, M. Shridhar, M. Ahmadi

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引用次数: 4

摘要

本文讨论了利用吉布斯场模型和高斯随机场表征干扰噪声对噪声图像的恢复。提出了两种能够并行实现的新算法，并显示出对高噪声损坏的图像的令人满意的恢复。

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Segmentation of noisy images modelled by Markov random fields with Gibbs distribution

Restoration of noisy images through the use of a Gibbs field model for the image and a Gaussian random field characterization of the corrupting noise is discussed in this paper. Two new algorithms capable of parallel implementation are presented and shown to yield satisfactory restoration of images corrupted by high levels of noise.

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来源期刊

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing

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