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An image gradient is a directional change in the intensity or color in an image. The gradient of the image is one of the fundamental building blocks in image processing . For example, the Canny edge detector uses image gradient for edge detection .
There may be other intellectual property restrictions protecting this image, such as trademarks or design patents if it is a logo. PD Public domain false false [[WP:CSD#F8|F8]]: File available on Wikimedia Commons as [[c:File:GradientRacingLogo.png]] This file is now available on Wikimedia Commons as File:GradientRacingLogo.png (with the same ...
However, JPEG compression causes a gradient to blur slightly. A PNG format reproduces a gradient as accurately as possible for a given bit depth, while keeping the file size small. PNG became the optimal choice for small gradient images as web browser support for the format improved.
Original file (2,378 × 1,203 pixels, file size: 54 KB, MIME type: image/png) ... Gradient vector flow; Metadata. This file contains additional information, probably ...
Two-dimensional slice through 3D Perlin noise at z = 0. Perlin noise is a type of gradient noise developed by Ken Perlin in 1983. It has many uses, including but not limited to: procedurally generating terrain, applying pseudo-random changes to a variable, and assisting in the creation of image textures.
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In mathematical morphology and digital image processing, a morphological gradient is the difference between the dilation and the erosion of a given image. It is an image where each pixel value (typically non-negative) indicates the contrast intensity in the close neighborhood of that pixel.
The TIFF and PNG (among other) image file formats support 16-bit grayscale natively, although browsers and many imaging programs tend to ignore the low order 8 bits of each pixel. Internally for computation and working storage, image processing software typically uses integer or floating-point numbers of size 16 or 32 bits.