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Image subtraction or pixel subtraction or difference imaging is an image processing technique whereby the digital numeric value of one pixel or whole image is subtracted from another image, and a new image generated from the result.
Dark-frame subtraction has been applied to the left half of the image. The right half is directly from the image sensor. A dark frame is an image captured with the sensor in complete darkness (i.e. with a closed shutter or the lens and viewfinder capped). Such a dark frame is essentially an image of noise produced by the sensor.
In imaging science, difference of Gaussians (DoG) is a feature enhancement algorithm that involves the subtraction of one Gaussian blurred version of an original image from another, less blurred version of the original.
Background subtraction is a widely used approach for detecting moving objects in videos from static cameras. The rationale in the approach is that of detecting the moving objects from the difference between the current frame and a reference frame, often called "background image", or "background model".
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Image credit: Grace Cary/Getty Images. ... “Practice addition by subtraction — meaning, your cells will benefit from what it doesn’t have to fight against [such as] toxins, excess nutrients ...
Getty Images. The booming U.S. stock market will help keep the dollar expensive as global investors pour money into America, a foreign exchange strategist said. But the politics of any trade deals ...
Foreground detection, a concept in computer vision to detect changes in image sequences; Foreground and background in photography and cinematography, a principle important for Depth of field, the distance between the nearest and farthest objects in a scene that appear acceptably sharp in an image; Deep focus, a technique using a large depth of ...