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gaussian blur kernel using the matlab "imgaussfilt" function  (MathWorks Inc)


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    MathWorks Inc gaussian blur kernel using the matlab "imgaussfilt" function
    Gaussian Blur Kernel Using The Matlab "Imgaussfilt" Function, 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/gaussian+blur+kernel/pmc10910559-78-28-27
    Average 90 stars, based on 1 article reviews
    gaussian blur kernel using the matlab "imgaussfilt" function - by Bioz Stars, 2026-09
    90/100 stars

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    Example half-images for contrast variation (top left) and blur variation (bottom left) with corresponding Fourier power spectra. Contrast in the example images is specified on the Michelson definition. The blur levels are specified in terms of the standard deviation of the gaussian kernel in terms of visual angle (arc min). Contrast reduction affects all spatial frequencies while blur manipulation preferentially affects high spatial frequencies.

    Journal: bioRxiv

    Article Title: Two disparity channels in human visual cortex with different contrast and blur sensitivity

    doi: 10.1101/2023.09.14.557625

    Figure Lengend Snippet: Example half-images for contrast variation (top left) and blur variation (bottom left) with corresponding Fourier power spectra. Contrast in the example images is specified on the Michelson definition. The blur levels are specified in terms of the standard deviation of the gaussian kernel in terms of visual angle (arc min). Contrast reduction affects all spatial frequencies while blur manipulation preferentially affects high spatial frequencies.

    Article Snippet: Half-image contrast was defined on the Michelson definition in the space domain and blur was generated by convolving the half-images with a Gaussian blur kernel using the MATLAB ‘imgaussfilt’ function.

    Techniques: Standard Deviation