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When motion blur happens, the resulting image is blurry, fuzzy edges and indistinct features. One solution to remove motion blur in photography is to increase the shutter speed of the camera. Unlike the coded exposure process, shutter speed is a purely physical process where the camera shutter is opened and closed more quickly, resulting in ...
An image is a picture, photograph or any other form of 2D representation of any scene. [24] Most algorithms for converting image sensor data to an image, whether in-camera or on a computer, involve some form of noise reduction.
Image stabilization (IS) is a family of techniques that reduce blurring associated with the motion of a camera or other imaging device during exposure.. Generally, it compensates for pan and tilt (angular movement, equivalent to yaw and pitch) of the imaging device, though electronic image stabilization can also compensate for rotation about the optical axis (). [1]
Many motion blur factors have existed for a long time in film and video (e.g. slow camera shutter speed). The emergence of digital video, and HDTV display technologies, introduced many additional factors that now contribute to motion blur. The following factors are generally the primary or secondary causes of perceived motion blur in video.
A separation artifact in top image makes the tumor look incompletely excised, but the next microtomy level (bottom image) shows a surgical margin of connective tissue. Stacking of cells on top of each other gives a dark look, and in this breast tissue it may mimic microcalcifications.
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 ...
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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.