Edge-aware image denoising algorithm
نویسندگان
چکیده
منابع مشابه
Edge structure preserving image denoising
Image denoising is important in image analysis. It is often used for pre-processing images so that subsequent image analysis is more reliable. Besides noise removal, one important requirement for image denoising procedures is that they should preserve true image structures, such as edges. This paper proposes a novel denoising procedure which can preserve edges and major edge features (e.g., ang...
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Image denoising as a pre-processing stage is a used to preserve details, edges and global contrast without blurring the corrupted image. Among state-of-the-art algorithms, block shrinkage denoising is an effective and compatible method to suppress additive white Gaussian noise (AWGN). Traditional NeighShrink algorithm can remove the Gaussian noise significantly, but loses the edge information i...
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In various applications, including magnetic resonance imaging (MRI) and functional MRI (fMRI), 3D images get increasingly popular. To improve reliability of subsequent image analyses, 3-D image denoising is often a necessary pre-processing step, which is the focus of the current paper. In the literature, most existing image denoising procedures are for 2-D images. Their direct extensions to 3-D...
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ژورنال
عنوان ژورنال: Journal of Algorithms & Computational Technology
سال: 2018
ISSN: 1748-3026,1748-3026
DOI: 10.1177/1748301818804774