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2. Image editing - Wikipedia

   en.wikipedia.org/wiki/Image_editing

   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.

3. Median filter - Wikipedia

   en.wikipedia.org/wiki/Median_filter

   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).

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   mail.aol.com

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5. Image noise - Wikipedia

   en.wikipedia.org/wiki/Image_noise

   Image noise is random variation of brightness or color information in images, and is usually an aspect of electronic noise. It can be produced by the image sensor and circuitry of a scanner or digital camera. Image noise can also originate in film grain and in the unavoidable shot noise of an ideal photon detector. Image noise is an undesirable ...

6. Perlin noise - Wikipedia

   en.wikipedia.org/wiki/Perlin_noise

   Two-dimensional slice through 3D Perlin noise at z = 0. Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain, applying pseudo-random changes to a variable, and assisting in the creation of image textures.

7. News, Politics, Sports, Mail & Latest Headlines - AOL.com

   homepage.aol.com

   Discover the latest breaking news in the U.S. and around the world — politics, weather, entertainment, lifestyle, finance, sports and much more.

8. Gaussian blur - Wikipedia

   en.wikipedia.org/wiki/Gaussian_blur

   Lower-end digital cameras, including many mobile phone cameras, commonly use gaussian blurring [citation needed] to obscure image noise caused by higher ISO light sensitivities. Gaussian blur is automatically applied as part of the image post-processing of the photo by the camera software, leading to an irreversible loss of detail.

9. Contrast-to-noise ratio - Wikipedia

   en.wikipedia.org/wiki/Contrast-to-noise_ratio

   Contrast-to-noise ratio (CNR) [1] is a measure used to determine image quality. CNR is similar to the metric signal-to-noise ratio (SNR), but subtracts a term before taking the ratio. This is important when there is a significant bias in an image, such as from haze. [ 2 ]