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  2. Spatial anti-aliasing - Wikipedia

    en.wikipedia.org/wiki/Spatial_anti-aliasing

    In computer graphics, anti-aliasing improves the appearance of "jagged" polygon edges, or "jaggies", so they are smoothed out on the screen. However, it incurs a performance cost for the graphics card and uses more video memory. The level of anti-aliasing determines how smooth polygon edges are (and how much video memory it consumes).

  3. Bilateral filter - Wikipedia

    en.wikipedia.org/wiki/Bilateral_filter

    Left: original image. Right: image processed with bilateral filter. A bilateral filter is a non-linear, edge-preserving, and noise-reducing smoothing filter for images.It replaces the intensity of each pixel with a weighted average of intensity values from nearby pixels.

  4. Edge-preserving smoothing - Wikipedia

    en.wikipedia.org/wiki/Edge-preserving_smoothing

    Edge-preserving filters are designed to automatically limit the smoothing at “edges” in images measured, e.g., by high gradient magnitudes. For example, the motivation for anisotropic diffusion (also called nonuniform or variable conductance diffusion) is that a Gaussian smoothed image is a single time slice of the solution to the heat ...

  5. Median filter - Wikipedia

    en.wikipedia.org/wiki/Median_filter

    Median filtering is one kind of smoothing technique, as is linear Gaussian filtering. All smoothing techniques are effective at removing noise in smooth patches or smooth regions of a signal, but adversely affect edges. Often though, at the same time as reducing the noise in a signal, it is important to preserve the edges.

  6. Edge detection - Wikipedia

    en.wikipedia.org/wiki/Edge_detection

    As a pre-processing step to edge detection, a smoothing stage, typically Gaussian smoothing, is almost always applied (see also noise reduction). The edge detection methods that have been published mainly differ in the types of smoothing filters that are applied and the way the measures of edge strength are computed.

  7. Smoothing group - Wikipedia

    en.wikipedia.org/wiki/Smoothing_group

    Smoothing groups are useful for describing shapes where some polygons are connected smoothly to their neighbors, and some are not. For example, in a mesh representing a cylinder, all of the polygons are smoothly connected except along the edges of the end caps. One could make a smoothing group containing all of the polygons in one end cap ...

  8. Gaussian blur - Wikipedia

    en.wikipedia.org/wiki/Gaussian_blur

    In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.

  9. Texture (visual arts) - Wikipedia

    en.wikipedia.org/wiki/Texture_(visual_arts)

    The specific use of texture can impact the perceived smoothness or roughness conveyed by an artwork. For instance, rough surfaces can create a visually active effect, while smooth surfaces can evoke a visually restful sensation. Both types of texture can be employed to imbue a design with a sense of personality or utilized to create emphasis ...