منابع مشابه
Fast separable nonlocal means
We propose a simple and fast algorithm called PatchLift for computing distances between patches (contiguous block of samples) extracted from a given one-dimensional signal. PatchLift is based on the observation that the patch distances can be efficiently computed from a matrix that is derived from the one-dimensional signal using lifting; importantly, the number of operations required to comput...
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It was recently demonstrated [J. Electron. Imaging, 25(2), 2016] that one can perform fast non-local means (NLM) denoising of one-dimensional signals using a method called lifting. The cost of lifting is independent of the patch length, which dramatically reduces the run-time for large patches. Unfortunately, it is difficult to directly extend lifting for non-local means denoising of images. To...
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In former work [18], we propose a scheme to more efficiently preselect similar patches for the nonlocal means filter, based on the Patch-oriented two-dimensional principal component analysis (2DPCA) technique. Although the method can yield good results, the computational complexity remains high. For this reason, in this paper we proposed an improvement of the work, which is fast and directly em...
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It has recently been proved that the popular nonlocal means (NLM) denoising algorithm does not optimally denoise images with sharp edges. Its weakness lies in the isotropic nature of the neighborhoods it uses to set its smoothing weights. In response, in this paper we introduce several theoretical and practical anisotropic nonlocal means (ANLM) algorithms and prove that they are near minimax op...
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The weird phenomenon of "quantum nonlocality without entanglement" means that local quantum operations assisted by classical communication constitute a proper subset of the class of separable quantum operations. Despite considerable recent advances, little is known to what extent the class of separable operations differs from local quantum operations and classical communication. In this Letter ...
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ژورنال
عنوان ژورنال: Journal of Electronic Imaging
سال: 2016
ISSN: 1017-9909
DOI: 10.1117/1.jei.25.2.023026