When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. Kuwahara filter - Wikipedia

    en.wikipedia.org/wiki/Kuwahara_filter

    The size of the window is chosen in advance and may vary depending on the desired level of blur in the final image. Bigger windows typically result in the creation of more abstract images whereas small windows produce images that retain their detail. Typically windows are chosen to be square with sides that have an odd number of pixels for ...

  3. Feathering - Wikipedia

    en.wikipedia.org/wiki/Feathering

    Feathering is not only used on paintbrushes in computer graphics software. Feathering may also blend the edges of a selected feature into the background of the image. When composing an image from pieces of other images, feathering helps make added features look "in place" with the background image.

  4. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    These produce sharp edges and maintain high level of detail. Unfortunately due to the standardized size of 218x80 pixels, the "Wiki" image cannot use HQ4x or 4xBRZ to better demonstrate the artifacts they may produce such as row shifting. The example images use HQ4x and HQ2x respectively.

  5. 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 ...

  6. Jaggies - Wikipedia

    en.wikipedia.org/wiki/Jaggies

    This image was scaled up using nearest-neighbor interpolation.Thus, the "jaggies" on the edges of the symbols became more prominent. Jaggies are artifacts in raster images, most frequently from aliasing, [1] which in turn is often caused by non-linear mixing effects producing high-frequency components, or missing or poor anti-aliasing filtering prior to sampling.

  7. 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. This weight can be based on a Gaussian distribution.

  8. Median filter - Wikipedia

    en.wikipedia.org/wiki/Median_filter

    The median filter operates by considering a local window (also known as a kernel) around each pixel in the image. The steps for applying the median filter are as follows: Window Selection: Choose a window of a specific size (e.g., 3x3, 5x5) centered around the pixel to be filtered. For our example, let’s use a 3x3 window. Collect Pixel Values:

  9. Bevel - Wikipedia

    en.wikipedia.org/wiki/Bevel

    Side views of a bevel (above) and a chamfer (below). A bevelled edge (UK) or beveled edge (US) is an edge of a structure that is not perpendicular to the faces of the piece. . The words bevel and chamfer overlap in usage; in general usage, they are often interchanged, while in technical usage, they may be differentiated as shown in the image on the ri