Abstract
The paper describes a framework for exemplar-based texture synthesis. The main idea is reducing synthesis time consuming and advancing synthesis quality by some optimization methods. Many optimizations such as searching along a spiral path, edge expansion, L2 distance computing predigesting, accelerate synthesis speed and the final results also advanced. Experiments show that synthesis results are quite satisfactory and effective.
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