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DICTA
2003

Synthesising Textures Using Variable Neighbourhood Searching

9 years 22 days ago
Synthesising Textures Using Variable Neighbourhood Searching
Abstract. Texture synthesis aims to define and reproduce discriminating image features. These features are used to associate with and differentiate between two textures. Often texture is composed of a pattern with an element of randomness in each feature’s appearance, position and orientation. The goal is to imitate the sample texture in such a way that sample and synthesised texture are perceived to be generated by the same source. One of the recent texture synthesis methods selects an output pixel by searching with its already generated neighbourhood for a corresponding match in the sample image. The neighbourhood size is fixed and blurring of texture features often results. Our method attempts to avoid this problem by enabling a dynamic, accelerated neighbourhood search. The window size varies with each output pixel and is determined by the current neighbourhood intensity configuration.
Minh Tran, Amitava Datta
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where DICTA
Authors Minh Tran, Amitava Datta
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