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The bitmap image is composed of a fixed set of pixels, while the vector image is composed of a fixed set of shapes. In the picture, scaling the bitmap reveals the pixels while scaling the vector image preserves the shapes. An image does not have any structure: it is just a collection of marks on paper, grains in film, or pixels in a bitmap ...
Wikipedia:SVG help. Scalable Vector Graphics is a commonly used file format for providing a geometrical description of an image using basic objects such as labels, circles, lines, curves and polygons. An image can be reduced or enlarged to an arbitrary size, and will not suffer image data loss, nor will it become pixelated.
Scalable Vector Graphics (SVG) is an XML -based vector image format for defining two-dimensional graphics, having support for interactivity and animation. The SVG specification is an open standard developed by the World Wide Web Consortium since 1999. SVG images are defined in a vector graphics format and stored in XML text files.
File:US Air Force Logo - Black and White Version (cropped).svg. Size of this PNG preview of this SVG file: 519 × 409 pixels. Other resolutions: 305 × 240 pixels | 609 × 480 pixels | 975 × 768 pixels | 1,280 × 1,009 pixels | 2,560 × 2,017 pixels. This is a file from the Wikimedia Commons. Information from its description page there is ...
A "color space" is a useful conceptual tool for understanding the color capabilities of a particular device or digital file. When trying to reproduce color on another device, color spaces can show whether shadow/highlight detail and color saturation can be retained, and by how much either will be compromised.
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A "bad" SVG can be identified because it will convert slowly (more than 5 seconds), it will be very large for an SVG (over 500kB-1MB) and it will render very slowly on WP - there is a long wait while the text and other images on the page are loaded, but the SVG image does not show up. Bad SVGs put a lot of strain on the Wiki servers.
Using this convention, a grayscale depth map for the example autostereogram can be created with black, gray and white representing shifts of 0 pixels, 10 pixels and 20 pixels, respectively as shown in the greyscale example autostereogram. A depth map is the key to creation of random-dot autostereograms.
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