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Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:
In computer graphics, mipmaps (also MIP maps) or pyramids [1] [2] [3] are pre-calculated, optimized sequences of images, each of which is a progressively lower resolution representation of the previous. The height and width of each image, or level, in the mipmap is a factor of two smaller than the previous level. Mipmaps do not have to be square.
[106] [109] It is the highest 4:3 resolution not greater than 2 20 pixels (≈1.05 megapixels), with its horizontal dimension a multiple of 32 pixels. This enables it to fit closely into a video memory or framebuffer of 1 MB (1 × 2 20 bytes), assuming the use of one byte per pixel.
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]
Under the image there should be a set of numbers in the form "NNNNxMMMM." This is the size of the image in pixels. If these numbers do not appear, then the image is smaller than the limit you specified for display in the "Files" pane in your preferences. If you did not adjust that limit, the default size is 800x600 pixels.
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There are exactly three unique locations within the search image where the template may fit: the left side of the image, the center of the image, and the right side of the image. To calculate the SAD values, the absolute value of the difference between each corresponding pair of pixels is used: the difference between 2 and 2 is 0, 4 and 1 is 3 ...