Texture synthesis using image pyramids and self-organizing maps

P. Parada, Javier Ruiz-del-Solar
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引用次数: 6

Abstract

Markov random field (MRF) is a well known model for the generation of textures in the field of computer graphics. However, the estimation of its parameter is quite difficult in many cases. A new algorithm for the synthesis of textures is proposed, based on image pyramids and self-organizing maps. This procedure avoids the explicit computation of the MRF parameters. Preliminary results support the appropriateness of this new approach.
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使用图像金字塔和自组织地图的纹理合成
马尔可夫随机场(MRF)是计算机图形学领域中一个著名的纹理生成模型。然而,在许多情况下,其参数的估计是相当困难的。提出了一种基于图像金字塔和自组织映射的纹理合成算法。这个程序避免了MRF参数的显式计算。初步结果支持这种新方法的适宜性。
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