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Local Patch Based Texture Synthesis


Affiliations
1 Department of Electrical and Electronics, Saveetha Engineering College, India
2 Department of Electronics and Communication, Rajalakshmi Institute of Technology, India
     

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A new algorithm is proposed to generate new textures that look similar to the given sample texture. Texture synthesis is growing a sample texture to an infinite texture which looks visually similar to the sample texture. Texture synthesis is needed to seamlessly cover areas and surfaces with a texture. A large number of patch based texture synthesis algorithm have been developed. They provide better result and the speed of the algorithm is quite high. This paper proposes a patch based texture synthesis approach along a spiral path. This algorithm searches for new matching patch among the neighborhood of the previous matched patch along a spiral path and this process is continued till the image is fully filled. Since the search space is reduced, a synthesis speed-up is obtained. This approach provides better quality and high speed of execution. Experiments result shows that this algorithm gives better quality.

Keywords

Image Quilting, Image Processing, Markov Random Process Model, Texture Synthesis.
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  • Local Patch Based Texture Synthesis

Abstract Views: 146  |  PDF Views: 2

Authors

J. Anish Kumar
Department of Electrical and Electronics, Saveetha Engineering College, India
A. Adlin Arul
Department of Electronics and Communication, Rajalakshmi Institute of Technology, India

Abstract


A new algorithm is proposed to generate new textures that look similar to the given sample texture. Texture synthesis is growing a sample texture to an infinite texture which looks visually similar to the sample texture. Texture synthesis is needed to seamlessly cover areas and surfaces with a texture. A large number of patch based texture synthesis algorithm have been developed. They provide better result and the speed of the algorithm is quite high. This paper proposes a patch based texture synthesis approach along a spiral path. This algorithm searches for new matching patch among the neighborhood of the previous matched patch along a spiral path and this process is continued till the image is fully filled. Since the search space is reduced, a synthesis speed-up is obtained. This approach provides better quality and high speed of execution. Experiments result shows that this algorithm gives better quality.

Keywords


Image Quilting, Image Processing, Markov Random Process Model, Texture Synthesis.