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imnoise function in matlab 2020b  (MathWorks Inc)


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    MathWorks Inc imnoise function in matlab 2020b
    Imnoise Function In Matlab 2020b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+function+imnoise/pm38830365-100-48-51
    Average 90 stars, based on 1 article reviews
    imnoise function in matlab 2020b - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Optical coherence tomography image despeckling based on tensor singular value decomposition and fractional edge detection
    Article Snippet: .. Two synthetic images used in this work. (a) Gaussian function-generated speckle-free image according the method proposed in Ref. [ ]; (b) Speckle-free image randomly selected from the dataset [ ]; (c) Matlab function imnoise -generated speckle noisy image according to (a); (d) Speckle noisy image of (b). (a)-(i) show the filtered images of all methods corresponding to (c), and the results related to (d) are shown in (a)-(i). ..

    other:

    Article Title: Resolving Multi-Path Interference in Compressive Time-of-Flight Depth Imaging with a Multi-Tap Macro-Pixel Computational CMOS Image Sensor
    Article Snippet: To generate the shot noise based on the Poisson distribution, the MATLAB function imnoise was used.

    Article Title: Multi-distortion suppression for neutron radiographic images based on generative adversarial network
    Article Snippet: Neutron radiography is a crucial nondestructive testing technology widely used in the aerospace, military, and nuclear industries.. However, because of the physical limitations of neutron sources and collimators, the resulting neutron radiographic images inevitably exhibit multiple distortions, including noise, geometric unsharpness, and white spots.. Furthermore, these distortions are particularly significant in compact neutron radiography systems with low neutron fluxes.

    Article Title: Experimental Study of Ghost Imaging in Underwater Environment
    Article Snippet: Here, the WGN is added into the two object images by the MATLAB function imnoisewith variances of 0.02, 0.04, and 0.06, respectively. b shows the simulated GI results recovered by FSPI with four noise levels (60, 55, 50, and 45), where the noises are added by the awgnfunction.

    Article Title: Experimental Study of Ghost Imaging in Underwater Environment.
    Article Snippet: Here, the WGN is added into the two object images by the MATLAB function imnoisewith variances of 0.02, 0.04, and 0.06, respectively.



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