DocumentCode :
1191371
Title :
Texture Synthesis with Grouplets
Author :
Peyré, Gabriel
Author_Institution :
CNRS, Univ. Paris-Dauphine, Paris, France
Volume :
32
Issue :
4
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
733
Lastpage :
746
Abstract :
This paper proposes a new method to synthesize and inpaint geometric textures. The texture model is composed of a geometric layer that drives the computation of a new grouplet transform. The geometry is an orientation flow that follows the patterns of the texture to analyze or synthesize. The grouplet transform extends the original construction of Mallat and is adapted to the modeling of natural textures. Each grouplet atoms is an elongated stroke located along the geometric flow. These atoms exhibit a wide range of lengths and widths, which is important to match the variety of structures present in natural images. Statistical modeling and sparsity optimization over these grouplet coefficients enable the synthesis of texture patterns along the flow. This paper explores texture inpainting and texture synthesis, which both require the joint optimization of the geometric flow and the grouplet coefficients.
Keywords :
image texture; optimisation; transforms; geometric textures; grouplet atoms; grouplet transform; natural images; natural textures modeling; sparsity optimization; statistical modeling; texture synthesis; Texture; grouplets; inpainting.; texture synthesis; Algorithms; Animals; Anisotropy; Biometry; Humans; Image Processing, Computer-Assisted; Pattern Recognition, Automated;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2009.54
Filename :
4799786
Link To Document :
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