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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.
is the window centered in , so is another pixel; f r {\displaystyle f_{r}} is the range kernel for smoothing differences in intensities (this function can be a Gaussian function ); g s {\displaystyle g_{s}} is the spatial (or domain) kernel for smoothing differences in coordinates (this function can be a Gaussian function).
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 ...
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:
Lines and surfaces outside the view volume (aka. frustum) are removed. [1] Clip regions are commonly specified to improve render performance. A well-chosen clip [clarification needed] allows the renderer to save time and energy by skipping calculations related to pixels that the user cannot see. Pixels that will be drawn are said to be within ...
Anything inside the path will be included after the clipping path is applied; anything outside the path will be omitted from the output. Applying the clipping path results in a hard (aliased) or soft (anti-aliased) edge, depending on the image editor's capabilities. Clipping path. By convention, the inside of the path is defined by its direction.
Finally, a Sobel filter or similar edge-detection filter is applied to the normal and depth textures to generate an edge texture. Texels on detected edges are black, while all other texels are white. Finally, the edge texture and the color texture are composited to produce the final rendered image.
Most edge-detection algorithms are sensitive to noise; the 2-D Laplacian filter, built from a discretization of the Laplace operator, is highly sensitive to noisy environments. Using a Gaussian Blur filter before edge detection aims to reduce the level of noise in the image, which improves the result of the following edge-detection algorithm.