Abstract: Techniques are disclosed for radar data denoising systems and methods. In one example, a method includes receiving radar data. The method further includes performing a first transform associated with the radar data to obtain transformed radar data. The transformed radar data is associated with a location parameter and a variance that is independent of the location parameter. The method further includes performing a second transform of the transformed radar data to obtain dimensionality-reduced radar data. The method further includes filtering the dimensionality-reduced radar data to obtain denoised dimensionality-reduced radar data. Related devices and systems are also provided.

Abstract: Various techniques are disclosed for reducing noise and enhancing sharpness of an input image. For example, a method includes performing an initial collaborative filtering and sharpening on the input image to generate a pilot image, using the pilot image to derive coefficients that are used to perform a second collaborative filtering on the input image to generate a filtered image. In some embodiments, the collaborative filtering and sharpening is performed using parameters that boost or enhance the differences in pixel values for the same spatial locations of the matched image blocks extracted during the collaborative filtering and sharpening process. Accordingly, the method according to various embodiments performs especially well for images that have weak spatial correlations among mutually similar blocks.

Abstract: Various techniques are disclosed for reducing noise and enhancing sharpness of an input image. For example, a method includes performing an initial collaborative filtering and sharpening on the input image to generate a pilot image, using the pilot image to derive coefficients that are used to perform a second collaborative filtering on the input image to generate a filtered image. In some embodiments, the collaborative filtering and sharpening is performed using parameters that boost or enhance the differences in pixel values for the same spatial locations of the matched image blocks extracted during the collaborative filtering and sharpening process. Accordingly, the method according to various embodiments performs especially well for images that have weak spatial correlations among mutually similar blocks.