基于不规则块的纹理合成方法

为了很好地保持纹理的边界结构特征，提出了一种利用人眼的视觉特性，采用不规则块、随机覆盖法和曲线最优匹配的纹理合成新方法.新方法分两个步骤：首先根据人眼的视觉特性，采用智能选择工具从样本纹理中抽取出具有明显边界特征的不规则块，然后采用随机覆盖法和曲线最优匹配法来决定如何把不规则块拷贝到目标纹理中.和已有的合成方法相比，新方法能更好地保持纹理的边界结构特征.实验表明该方法可以快速高效地合成高质量的纹元式纹理.

Irregular Patch for Texture Synthesis

Patch-based texture synthesis methods have achieved significant progress. Nevertheless, there is still a serious problem in the seam of two adjacent patches. In order to preserve the texture border structures of adjacent patches sample, a new texture synthesis method is developed using irregular patches, a random overlapping method and an optimal matching algorithm. This new texture synthesis method is composed of two stages. In the first stage, an irregularly shaped feature patch is extracted by identifying a set of border structure features from the sample texture based on HVS using intelligent selecting tools. Then different irregular patches are obtained by introducing a small amount of deformation. In the second stage, guided by the irregular patch image, the random overlapping method and the optimal matching method are applied to texel-overlapped texture and texel-nonoverlapped texture respectively to decide how to paste the irregular patches into the output texture correctly. A variety of synthesis examples are shown, including structured texture, near-regular structured image and irregular texture. A comparison between the new method and Graphcut is given. Compared with be existing methods, the new method can preserve the border structures more efficiently and the results of the experiment also demonstrate that the new method can produce “texel-style texture” of high quality.