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  2. Salt-and-pepper noise - Wikipedia

    en.wikipedia.org/wiki/Salt-and-pepper_noise

    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.

  3. Image noise - Wikipedia

    en.wikipedia.org/wiki/Image_noise

    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.

  4. Ringing artifacts - Wikipedia

    en.wikipedia.org/wiki/Ringing_artifacts

    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.

  5. Burst noise - Wikipedia

    en.wikipedia.org/wiki/Burst_noise

    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.

  6. Anisotropic diffusion - Wikipedia

    en.wikipedia.org/wiki/Anisotropic_diffusion

    In image processing and computer vision, anisotropic diffusion, also called Perona–Malik diffusion, is a technique aiming at reducing image noise without removing significant parts of the image content, typically edges, lines or other details that are important for the interpretation of the image.

  7. Total variation denoising - Wikipedia

    en.wikipedia.org/wiki/Total_variation_denoising

    The regularization parameter plays a critical role in the denoising process. When =, there is no smoothing and the result is the same as minimizing the sum of squares.As , however, the total variation term plays an increasingly strong role, which forces the result to have smaller total variation, at the expense of being less like the input (noisy) signal.

  8. Signal-to-noise ratio (imaging) - Wikipedia

    en.wikipedia.org/wiki/Signal-to-noise_ratio...

    SNR is sometimes quantified in decibels (dB) of signal power relative to noise power, though in the imaging field the concept of "power" is sometimes taken to be the power of a voltage signal proportional to optical power; so a 20 dB SNR may mean either 10:1 or 100:1 optical power, depending on which definition is in use.

  9. Impulse noise - Wikipedia

    en.wikipedia.org/wiki/Impulse_noise

    Impulse noise could mean: Impulse noise (audio) Electromagnetic interference; Burst noise; Salt-and-pepper noise This page was last edited on ...

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