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Download fileKriging-Weighted Laplacian Kernels
Laplacian kernels, which are widely used as sharpening filters in image processing, are isotropic and tend to over-highlight fine details with a sharp discontinuity in images. To address this issue, this paper introduces a method that integrates anisotropic averaging with the Laplacian kernels.
The proposed method can also be useful as a new type of image convolution for designing convolutional neural networks.