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circular image filtering using matlab functions imfilter and fspecial  (MathWorks Inc)


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    MathWorks Inc circular image filtering using matlab functions imfilter and fspecial
    Circular Image Filtering Using Matlab Functions Imfilter And Fspecial, 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+fspecial/pm39241071-292-18-14
    Average 90 stars, based on 1 article reviews
    circular image filtering using matlab functions imfilter and fspecial - by Bioz Stars, 2026-11
    90/100 stars

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    Article Snippet: Color image restoration is an important and challenging research topic in image processing.. Different from grayscale images, each color image has three channels in RGB color space.. Due to the correlation among the three channels, color total variation (TV) regularized image restoration based on the local channel coupling is better than the direct application of its grayscale counterpart in each channel of color images.

    Article Title: Inexact Fixed-Point Proximity Algorithm for the $$\ell _0$$ Sparse Regularization Problem
    Article Snippet: .. The matrix K is generated by the MATLAB function “fspecial” with the mode being motion, the angle of the motion blurring being 45 and the length of the motion blurring (“MBL”) varying from 9, 15, 21 and all blurring effects are generated by using the MATLAB function “imfilter” with symmetric boundary conditions [20]. ..

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    Article Title: Agnosic vision is like peripheral vision, which is limited by crowding
    Article Snippet: Stimuli were blurred with the MATLAB function “fspecial”, using the disk option to specify the diameter the averaging filter (pillbox).

    Article Title: Estimation and Sharpening of Blur in Degraded Images Captured by a Camera on a Moving Object
    Article Snippet: We choose a concrete structure image ( ) as an example [captured under the shooting condition shown in ( )] and a filter giving the motion blur effect, which were made with MATLAB function [fspecial], set as shown in ( ) is convoluted to this image.

    Article Title: The place-cell representation of volumetric space in rats
    Article Snippet: For each cell, instantaneous firing rate was estimated as the smoothed spike 1102 histogram (20 ms bins, 13 bin or 260 ms Gaussian smoothing window using Matlab function 1103 fspecial).

    Article Title: Quantitative Characterization of α-Synuclein Aggregation in Living Cells through Automated Microfluidics Feedback Control.
    Article Snippet: A Gaussian low pass filter was first designed with the MATLAB function fspecial of the Image Processing Toolbox, and then applied to the enhanced images with the MATLAB function imfilter of the Image Processing Toolbox.

    Standard Deviation:

    Article Title: Infrared Image Deblurring via High-Order Total Variation and Lp-Pseudonorm Shrinkage
    Article Snippet: The Gaussian blur and motion blur kernels are generated by MATLAB functions. .. For example, MATLAB function “fspecial” (‘gaussian’, B × B × σ) generates a B × B Gaussian blur kernel with a standard deviation of σ. ..



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    circular image filtering using matlab functions imfilter and fspecial  (MathWorks Inc)
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    MathWorks Inc circular image filtering using matlab functions imfilter and fspecial
    Circular Image Filtering Using Matlab Functions Imfilter And Fspecial, 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
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    matlab function fspecial  (MathWorks Inc)
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    matlab functions fspecial  (MathWorks Inc)
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
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    matlab's built-in function fspecial  (MathWorks Inc)
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions <t>fspecial</t> (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.
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    Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.

    Journal: Proceedings of the Royal Society B: Biological Sciences

    Article Title: How to generate and test hypotheses about colour: insights from half a century of guppy research

    doi: 10.1098/rspb.2022.2492

    Figure Lengend Snippet: Illustrations showing the potential blurring effects of acuity and motion. Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image). Structural colours show weakly in this photograph; see electronic supplementary material, figures S1 and S2 for effects on structural colours and more details. ( a ) Six guppies seen at short distance (as in typical guppy courtship). ( b ) The same guppies seen at a distance (as by a predator). ( c ) Motion blur during the sigmoid courtship display in which the body is rapidly rotated along the body long axis, blurring vertically. This also has a strong effect on the structural colours because they only reflect strongly in certain directions, causing a strong flicker. ( d ) Motion blur when foraging or fleeing a predator, blurring horizontally. This kind of motion results in a lot less structural colour flicker because the long axis is not rotated very much, if at all. Note the loss of colour and luminance contrast due to acuity limits and note the very different appearances due to motion in different directions. Similar effects occur for structural colours (electronic supplementary material, figures S1 and S2). Guppies and their predators gather very different visual information.

    Article Snippet: Defocus and motion blur were done using MATLAB functions fspecial (for filter definition) and imfilter (to apply the filter to the image).

    Techniques: