1 August 1990 Modified Markov random field model and its applications to texture synthesis and data compression
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Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139549 (1990) https://doi.org/10.1117/12.2294396
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohan Yu, Xiaohan Yu, } "Modified Markov random field model and its applications to texture synthesis and data compression", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139549 (1 August 1990); doi: 10.1117/12.2294396; https://doi.org/10.1117/12.2294396
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