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Basics of image editing. Raster images are stored in a computer in the form of a grid of picture elements, or pixels. These pixels contain the image's color and brightness information. Image editors can change the pixels to enhance the image in many ways. The pixels can be changed as a group, or individually, by the sophisticated algorithms ...
Kyocera - as of 2005, only cameraphones; previously offered compact digital cameras. Largan - compact digital cameras. LG - compact digital cameras. Minolta - compact digital cameras and two unique DSLRs, acquired by Sony in early 21st century. Mamiya - medium-format cameras which accept digital camera backs.
Foreground detection. Foreground detection is one of the major tasks in the field of computer vision and image processing whose aim is to detect changes in image sequences. Background subtraction is any technique which allows an image's foreground to be extracted for further processing (object recognition etc.).
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This past week saw millions of kids heading back to school. To all you parents out there: Congrats — the next round's on us! Seriously, though, you've got some well-deserved "me" time coming ...
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 ...
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Iris recognition biometric systems apply mathematical pattern-recognition techniques to images of the irises of an individual's eyes.. Iris recognition is an automated method of biometric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some ...