High Quality Solid Texture Synthesis using
Position and Index Histogram Matching

The synthesis quality is one of the most important aspects in solid texture synthesis algorithms. In recent years several methods are proposed to generate high quality solid textures. However, these existing methods often suffer from the synthesis artifacts such as blurring, missing texture structures, introducing aberrant voxel colors, and so on. In this paper, we introduce a novel algorithm for synthesizing high quality solid textures from 2D exemplars. We first analyze the relevant factors for further improvements of the synthesis quality, and then adopt an optimization framework with the k-coherence search and the discrete solver for solid texture synthesis. The texture optimization approach is integrated with two new kinds of histogram matching methods, position and index histogram matching, which effectively cause the global statistics of the synthesized solid textures to match those of the exemplars. Experimental results show that our algorithm outperforms or at least is comparable to the previous solid texture synthesis algorithms in terms of the synthesis quality.

Paper [VC DL], Slides [PPT], SourceCode [C++]

We would like to thank Fang Yang, Guidu Chen and Peng Liu for help on writing, and the anonymous reviewers for their valuable suggestions and comments. This work is supported by National Science Foundation of China (Grant Nos. 90818011, 60773143 and 90715043), National High-Tech Research & Development Program of China (Grant No. 2007AA040401), and National Basic Research Program of China (Grant No. 2004CB719400).