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Often contains deleted information from previous uses of the block Steganography The word steganography comes from the Greek name “steganos” (hidden or secret) and “graphy” (writing or drawing) and literally means hidden writing. Steganography uses techniques to communicate information in a way that is hidden. [4]
The difference between a small and large 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).
An example of an image blurred using a box blur. A box blur (also known as a box linear filter) is a spatial domain linear filter in which each pixel in the resulting image has a value equal to the average value of its neighboring pixels in the input image. It is a form of low-pass ("blurring") filter.
Method of creating background for a 3D scene by enclosing it in a textured cuboid (or another environment map). [3]: 547 Sliverous triangle Sliver triangle A triangle with one or two extremely acute angles, hence a long/thin shape, which has undesirable properties during some interpolation or rasterization processes. [30] Software renderer
Also simply application or app. Computer software designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Common examples of applications include word processors, spreadsheets, accounting applications, web browsers, media players, aeronautical flight simulators, console games, and photo editors. This contrasts with system software, which is ...
- This term can be misused: sometimes, it is a setting which is the opposite of blurry (e.g. when "glossiness" has a low value, the reflection is blurry). Sometimes the term is used as a synonym for "blurred reflection". Glossy used in this context means that the reflection is actually blurred.
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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.