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In this paper, an innovated method is proposed for video denoising. The method consists of two major procedures. First, a new adaptive superpixel video texture metric is proposed. This video texture metric is calculated, which relates to different parts of a video stream. Then a new adaptive structure variance is estimated by adopting fine and coarse structures. Finally, a noise filter based on the...
In this paper, a novel united low-light image enhancement framework for both contrast enhancement and denoising is proposed. First, the low-light image is segmented into superpixels, and the ratio between the local standard deviation and the local gradients is utilized to estimate the noise-texture level of each superpixel. Then the image is inverted to be processed in the following steps. Based on...
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