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2. Median filter - Wikipedia

   en.wikipedia.org/wiki/Median_filter

   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).

3. Scilab Image Processing - Wikipedia

   en.wikipedia.org/wiki/Scilab_Image_Processing

   SIP is a toolbox for processing images in Scilab. SIP is meant to be a free, complete, and useful image toolbox for Scilab. SIP is meant to be a free, complete, and useful image toolbox for Scilab. Its goals include tasks such as filtering, blurring, edge detection , thresholding, histogram manipulation, segmentation , mathematical morphology ...

4. Anti-aliasing filter - Wikipedia

   en.wikipedia.org/wiki/Anti-aliasing_filter

   In the case of optical image sampling, as by image sensors in digital cameras, the anti-aliasing filter is also known as an optical low-pass filter (OLPF), blur filter, or AA filter. The mathematics of sampling in two spatial dimensions is similar to the mathematics of time-domain sampling, but the filter implementation technologies are different.

5. Kernel (image processing) - Wikipedia

   en.wikipedia.org/wiki/Kernel_(image_processing)

   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.

6. Deep learning anti-aliasing - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_anti-aliasing

   Deep learning anti-aliasing (DLAA) is a form of spatial anti-aliasing created by Nvidia. [1] DLAA depends on and requires Tensor Cores available in Nvidia RTX cards. [1]DLAA is similar to deep learning super sampling (DLSS) in its anti-aliasing method, [2] with one important differentiation being that the goal of DLSS is to increase performance at the cost of image quality, [3] whereas the ...

7. Noise reduction - Wikipedia

   en.wikipedia.org/wiki/Noise_reduction

   Smoothing filters tend to blur an image because pixel intensity values that are significantly higher or lower than the surrounding neighborhood smear across the area. Because of this blurring, linear filters are seldom used in practice for noise reduction; [ citation needed ] they are, however, often used as the basis for nonlinear noise ...