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An image with salt-and-pepper noise. Salt-and-pepper noise, also known as impulse noise, is a form of noise sometimes seen on digital images. For black-and-white or grayscale images, is presents as sparsely occurring white and black pixels, giving the appearance of an image sprinkled with salt and pepper.
Image noise can also originate in film grain and in the unavoidable shot noise of an ideal photon detector. Image noise is an undesirable by-product of image capture that obscures the desired information. Typically the term “image noise” is used to refer to noise in 2D images, not 3D images.
The central example, and often what is meant by "ringing artifacts", is the ideal low-pass filter, the sinc filter. This has an oscillatory impulse response function, as illustrated above, and the step response – its integral, the sine integral – thus also features oscillations, as illustrated at right.
An impulse noise filter can enhance the quality of noisy signals to achieve robustness in pattern recognition and adaptive control systems. A classic filter used to remove impulse noise is the median filter, at the expense of signal degradation. Thus it's quite common to get better performing impulse noise filters with model-based systems ...
Almost every technique and device for signal processing has some connection to noise. Some random examples are: Noise shaping; Antenna analyzer or noise bridge, used to measure the efficiency of antennas; Noise gate; Noise generator, a circuit that produces a random electrical signal; Radio noise source used to calibrate radiotelescopes
Burst noise is a type of electronic noise that occurs in semiconductors and ultra-thin gate oxide films. [1] It is also called random telegraph noise ( RTN ), popcorn noise , impulse noise , bi-stable noise , or random telegraph signal ( RTS ) noise.
Impulse noise could mean: Impulse noise (audio) Electromagnetic interference; Burst noise; Salt-and-pepper noise This page was last edited on ...
Many of the techniques of digital image processing, or digital picture processing as it often was called, were developed in the 1960s, at Bell Laboratories, the Jet Propulsion Laboratory, Massachusetts Institute of Technology, University of Maryland, and a few other research facilities, with application to satellite imagery, wire-photo standards conversion, medical imaging, videophone ...