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  2. Deblurring - Wikipedia

    en.wikipedia.org/wiki/Deblurring

    Deblurring is the process of removing blurring artifacts from images. Deblurring recovers a sharp image S from a blurred image B , where S is convolved with K (the blur kernel ) to generate B . Mathematically, this can be represented as B = S ∗ K {\displaystyle B=S*K} (where * represents convolution ).

  3. Richardson–Lucy deconvolution - Wikipedia

    en.wikipedia.org/wiki/Richardson–Lucy...

    The use of Richardson–Lucy deconvolution to recover a signal blurred by an impulse response function. The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been blurred by a known point spread function.

  4. Adobe Lightroom - Wikipedia

    en.wikipedia.org/wiki/Adobe_Lightroom

    Lightroom is non-destructive editing software that keeps the original image separate from its edits, saving the edited image as a new file. While Photoshop includes doctoring functions like adding, removing or altering the appearance of individual image items, rendering text or 3D objects on images, or modifying individual video frames, Lightroom is a library and development software.

  5. Wiener deconvolution - Wikipedia

    en.wikipedia.org/wiki/Wiener_deconvolution

    From left: Original image, blurred image, image deblurred using Wiener deconvolution.. In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution.

  6. Digital photograph restoration - Wikipedia

    en.wikipedia.org/wiki/Digital_photograph_restoration

    Digital photograph restoration is the practice of restoring the appearance of a digital copy of a physical photograph that has been damaged by natural, man-made, or environmental causes, or affected by age or neglect.

  7. Gaussian blur - Wikipedia

    en.wikipedia.org/wiki/Gaussian_blur

    For example, applying successive Gaussian blurs with radii of 6 and 8 gives the same results as applying a single Gaussian blur of radius 10, since + =. Because of this relationship, processing time cannot be saved by simulating a Gaussian blur with successive, smaller blurs — the time required will be at least as great as performing the ...

  8. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    [10] Although his work was done in the early days of computer vision, the Canny edge detector (including its variations) is still a state-of-the-art edge detector. [ 11 ] Edge detectors that perform better than the Canny usually require longer computation times or a greater number of parameters.

  9. Shakira Reveals 'Life Hasn't Been Kind' Since Split from ...

    www.aol.com/shakira-reveals-life-hasnt-kind...

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