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The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.
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.
upright=0.8 – scales the image to approximately 80% of the user's default size (20% smaller) upright=1.2 – scales the image to approximately 120% of the user's default size (20% larger) left – shifts the image to the left margin; right – shifts the image to the right margin; center – shifts the image to center between left/right margins
Animated GIF images are not processed by the server. When a smaller size is specified the original full sized animated GIF image is served. Whether the animated GIF image is subsequently scaled to fit the allotted space belongs to the capabilities of the receiving browser. Resizing an animated GIF image will significantly reduce its quality ...
GIF animation of an Apollonian sphere packing with transparent background. Transparency in computer graphics is possible in a number of file formats.The term "transparency" is used in various ways by different people, but at its simplest there is "full transparency" i.e. something that is completely invisible.
An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.
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.
Original image to be made narrower Scaling is undesirable because the castle is distorted. Cropping is undesirable because part of the castle is removed. Seam carving. Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL.
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