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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. Mathematically, this can be represented as = (where * represents convolution).
Image editors may feature a number of algorithms which can add or remove noise in an image. Some JPEG artifacts can be removed; dust and scratches can be removed and an image can be de-speckled. Noise reduction merely estimates the state of the scene without the noise and is not a substitute for obtaining a "cleaner" image.
MeituPic provides a number of photo-editing tools. The major functions are auto enhance, edit, enhance, filters, frames, magic brush, mosaic, text, and blur. [2]Auto enhance focuses on the nature of photos taken, while Edit includes functions of cropping, rotation, sharpening, and adjustment of ratio.
The median filter is a non-linear digital filtering technique, often used to remove noise from an image, [1] signal, [2] and video. [3] Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image).
In May 2005, when the first beta of iMage (the original name of LiveQuartz) was released, its singularity was that it was the first graphic editor to use two new Mac OS X Tiger frameworks: Core Image and Core Data. LiveQuartz was also, back in early 2005, the first Mac OS X image editing app to use a unique window user interface without "palettes".
If the user needs to add annotations, highlightings or obfuscations to the screenshot the built-in image editor can be used. Greenshot's image editor is a basic vector graphics editor; however, it offers some pixel-based filters. It allows to draw basic shapes (rectangles, ellipses, lines, arrows and freehand) and add text to a screenshot.
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