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For magnifying computer graphics with low resolution and few colors (usually from 2 to 256 colors), better results will be achieved by pixel art scaling algorithms such as hqx or xbr. 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 ...
Image compression. Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other ...
An image of N pixels height by M pixels wide can have any resolution less than N lines per picture height, or N TV lines. But when the pixel counts are referred to as "resolution", the convention is to describe the pixel resolution with the set of two positive integer numbers, where the first number is the number of pixel columns (width) and ...
Making an image that was incorrectly saved as JPEG fit for saving as PNG. Suppose you have a map for an island that was inadvertently saved as JPEG. Looks OK, if a bit fuzzy. 1. In your bitmap graphics editor, set your fuzzy selection ("magic wand") tool so that it only will select pixels of exactly the same color. (Here: Threshold = 0) 2.
For the term in computer programming, see Source code. In information theory, data compression, source coding, [ 1 ] or bit-rate reduction is the process of encoding information using fewer bits than the original representation. [ 2 ] Any particular compression is either lossy or lossless. Lossless compression reduces bits by identifying and ...
Image file format. An image file format is a file format for a digital image. There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed. If the data is compressed, it may be done so using lossy ...
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