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The Graphics Interchange Format (GIF; / ɡ ɪ f / GHIF or / dʒ ɪ f / JIF, see § Pronunciation) is a bitmap image format that was developed by a team at the online services provider CompuServe led by American computer scientist Steve Wilhite and released on June 15, 1987.
When not using a GIF animation at its original frame size, consider creating an Ogg Theora movie of the animation. Animated PNG images with a frame size larger than 12.5 million pixels cannot currently be displayed in thumbnail form in Wikipedia articles, a significantly lower limit than the GIF format, and is not fully supported on all browsers.
AV1 Image File Format Alliance for Open Media (AOMedia) AV1.avif image/avif General purpose royalty-free BAY: Casio RAW Casio.bay BMP: raw-data unencoded or encoded bitmap simple colour image format, far older than Microsoft; some .bmp encoding formats developed/owned by Microsoft.bmp, .dib, .rle,.2bp (2bpp) image/x-bmp Used by many 2D ...
A GIF is an example of a graphics image file that uses a bitmap. [2] As a noun, the term "bitmap" is very often used to refer to a particular bitmapping application: the pix-map, which refers to a map of pixels, where each pixel may store more than two colors, thus using more than one bit per pixel. In such a case, the domain in question is the ...
The only requirement was that this image was invisible, either by being the same color as the page, or by being transparent. Spacer GIFs themselves were small transparent image files. GIF files were used as it was a common format that supported transparency, unlike JPEG. These files were commonly named spacer.gif, transparent.gif or 1x1.gif.
Some image file formats, like PNG or GIF, use only lossless compression, while others like TIFF and MNG may use either lossless or lossy methods. Lossless audio formats are most often used for archiving or production purposes, while smaller lossy audio files are typically used on portable players and in other cases where storage space is ...
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 digital data. [1]
Run-length encoding (RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a single occurrence of that data value and a count of its consecutive occurrences, rather than as the original run. As an imaginary example of the concept, when encoding an image built up from ...