Kriging-Weighted Laplacian Kernels
AbstractLaplacian 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
The proposed method can also be useful as a new type of image
convolution for designing convolutional neural networks.