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Unsharp masking applied to lower part of image. Unsharp masking (USM) is an image sharpening technique, first implemented in darkroom photography, but now commonly used in digital image processing software. Its name derives from the fact that the technique uses a blurred, or "unsharp", negative image to create a mask of the original image. The ...
Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.
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 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. Or more simply, when each pixel in the output image is a function of the nearby pixels (including itself) in the input image ...
Darkroom manipulation is a traditional method of manipulating photographs without the use of computers. Some of the common techniques for darkroom manipulation are dodging, burning, and masking, which though similar conceptually to digital manipulations, involve physical rather than virtual techniques.
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SAFR from RealNetworks. Launched by RealNetworks on July 17, 2018, SAFR – Secure Accurate Facial Recognition, is a machine learning facial recognition platform. [21] The SAFR platform was updated in 2020 with COVID-19 response features, including the ability to detect whether a person is wearing a mask and identify people wearing masks with 98.85 percent accuracy. [22]
Even so, Mizelle agreed that masking would “decrease the serious illness and death that COVID-19 occasions,” an acknowledgment that seemed to only further infuriate critics of her ruling.