Kernel Regression-Based Image Processing ToolBox for MATLAB. Kernel Regression-Based Image Processing ToolBox is a command-line based software package for MATLAB, which was developed at MDSP research laboratory in UCSC. The package is capable of performing several general image processing tasks; for instance, 1) Image denoising: Gaussian noise removal; Compression artifact reduction; Film grain reduction; Salt & pepper noise reduction. 2) Image reconstruction (interpolation + denoising): Image upscale (reconstruction an image from regularly sampled data set); Image reconstruction from an irregularly sampled data set; Image fusion; Super-resolution.
References in zbMATH (referenced in 1 article )
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- López-Rubio, Ezequiel: Superresolution from a single noisy image by the median filter transform (2016)