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Image Denoising with Kernels Based on Natural Image Relations

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Figure

Figure 1: Comparison between redundancy of natural image coefficients in the steerable waveletrepresentation (solid), and the redundancy due to this representation (dashed)
Figure 2: Mutual information among the central coefficient and its spatial neighbors in the samesubband (intraband) in the steerable wavelet domain
Figure 3: Effect of noise on the wavelet coefficients. Patch of a subband of a wavelet representationof the original image Barbara (left) and its noisy version (right)
Figure 4: Anisotropic kernel functions used in the support vector regression method for the eightconsidered orientation subbands.
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