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NON-LOCAL MEANS IMAGE DENOISING WITH AN ADAPTIVE DIRECTIONAL SPATIAL FILTER
NON-LOCAL MEANS IMAGE DENOISING WITH AN ADAPTIVE DIRECTIONAL SPATIAL FILTER
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机译：自适应方向空间滤波器的非局部均值图像降噪
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摘要
System, apparatus, method, and computer readable media for edge-enhanced non-local means (NLM) image denoising. In embodiments, edge detail is preserved in filtered image data by weighting of the noisy input target pixel value with other pixel values based on self-similarity and further informed by a data-driven directional spatial filter. Embodiments herein may denoise regions of an image lacking edge characteristics with a more uniform spatial filter than those having edge characteristics. In embodiments, directionality of a spatial filter function is modulated based on an edge metric to increase the weighting of pixel values along an edge when there is a greater probability the edge passes through the target pixel. In further embodiments, the adaptive spatial filter is elliptical and oriented relative to a spatial gradient direction with non-uniform filter widths that are based on the edge metric.
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