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Regularity and localized representations of random-phase textures

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Figure 1.1: Left: input image “cell” and its canonical mapping. Right: output image obtained with the Efros-Leung algorithm [42] (implementation [2]) and its stochastic mapping
Figure 1.2: Left: input image “wood”. Right: output image obtained with the RPN algorithm [51] (implementation [50]).
Figure 1.3: Top: the micro-texture samples based on the texton (left) and its sparse approx- approx-imation (right) are indistinguishable up to an affine contrast change
Figure 1.4: The importance of phase in images. From left to right: “Lena”, “clouds” and the image obtained by taking the phase of “Lena” and the modulus of “clouds” as defined in (3.4)
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Keywords Hölder regularity · anisotropy · fractional Brownian eld · quadratic variations · texture analysis · photographic paper..