@inproceedings{88224acf097a48d5936784b010d0b903,
title = "Modified Markov random field model and its applications to texture synthesis and data compression",
abstract = "Markov Random Field (MRF) model is a very useful model for image texture processing. But its stability condition is hardly to meet for natural textures. To find a stable MRF model is difficult and complex in computation. In this paper a new MRF model, called Modified Markov Random Field Model, is proposed; A stable Modified MRF model can be easily obtained for stochastic and natural textures. It is suitable for texture synthesis and data compression.",
author = "Yuan Baozong and Xiaohan Yu and Baozong Yuan",
year = "1990",
doi = "10.1117/12.2294396",
language = "English",
series = "Proceedings of SPIE",
publisher = "International Society for Optics and Photonics SPIE",
number = "Part 2",
pages = "1203--1209",
booktitle = "Close-Range Photogrammetry Meets Machine Vision",
}