
pmid: 20224127
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.
Biometry, inpainting, texture synthesis, Probabilités et mathématiques appliquées, 620, 004, Pattern Recognition, Automated, 519, grouplets, Image Processing, Computer-Assisted, Animals, Anisotropy, Humans, Texture, Algorithms
Biometry, inpainting, texture synthesis, Probabilités et mathématiques appliquées, 620, 004, Pattern Recognition, Automated, 519, grouplets, Image Processing, Computer-Assisted, Animals, Anisotropy, Humans, Texture, Algorithms
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