【摘要】 马尔可夫随机场模型(Markov Random Field Model: MRFM)是一种比较有效的纹理合成方法。但MRFM的稳定性条件非常苛刻,寻找一个稳定的MRFM去合成纹理图象是很困难的,且常常得不到稳定的MRFM。本文将从这个问题出发,提出一种修正的MRFM,称之为复合MRFM。这是一种绝对稳定的级联形式的MRFM,它适用于随机纹理及大部分自然纹理的合成及数据压缩。采用此种模型时,无需再去寻找最佳模型支持域。更多还原

【Abstract】 Markov Random Field model is a very effective model for natural texture synthesis, 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; The new model is absolutely stable for stoachastic and natural textures. It is suitable for texture synthesis and data compression. It is unnecessary for Modified MRF model to find a suitable or inatchable support area.更多还原