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Any blurred image can be given as input to blind deconvolution algorithm, it can deblur the image, but essential condition for working of this algorithm must not be violated as discussed above. In the first example (picture of shapes), recovered image was very fine, exactly similar to original image because L > K + N.
Unsharp masking applied to lower part of image. Unsharp masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software.
Deblurring an image using Wiener deconvolution. 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.
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.
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.
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.
Todor G. Georgiev is a Bulgarian American research scientist and inventor, best known for his work on plenoptic cameras. [1] [2] He is the author of the Healing Brush tool [3] in Adobe Photoshop, and, as of 2020, is a principal scientist at Adobe in San Jose, California. [4]
Starting with version 2.0, digiKam has introduced face recognition allowing you to automatically identify photos of certain people and tag them. DigiKam's photo manager was the first free project to feature similar functionality, with face recognition previously implemented only in proprietary products such as Google Picasa, Apple's Photos, and Windows Live Photo Gallery.
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