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2. Gaussian blur - Wikipedia

   en.wikipedia.org/wiki/Gaussian_blur

   The difference between a small and large Gaussian blur. In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.

3. Unsharp masking - Wikipedia

   en.wikipedia.org/wiki/Unsharp_masking

   Source image (top), sharpened image (middle), highly sharpened image (bottom) The same differencing principle is used in the unsharp-masking tool in many digital-imaging software packages, such as Adobe Photoshop and GIMP. [1] The software applies a Gaussian blur to a copy of the original image and then compares it to the original. If the ...

4. Greenshot - Wikipedia

   en.wikipedia.org/wiki/Greenshot

   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.

5. How to blur people's faces in protest photos — and why you ...

   www.aol.com/blur-peoples-faces-protest-photos...

   With mass protests taking place across the United States and abroad, social media safety is more important than ever. Enormous crowds of people are gathering in cities around the country to ...

6. Picsart - Wikipedia

   en.wikipedia.org/wiki/Picsart

   It also includes image filters like blur, retro, VHS, and Y2K. The apps include: Picsart Photo & Video Editor - a photo and video editing app with tools to add filters and various effects, with social network integration. The app is free to use and offers in-app purchases of stickers and other graphic elements. [31]

7. Kernel (image processing) - Wikipedia

   en.wikipedia.org/wiki/Kernel_(image_processing)

   In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.