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Original file (SVG file, nominally 7,680 × 4,320 pixels, file size: 22 KB) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.
Although not an official name, this term is now used to refer to 1152×864, which is the largest 4:3 array yielding less than a binary megapixel (2^20, 1048576 pixels, 1048 decimal kilopixels), thus allowing the greatest "normal" resolution at common colour depths with a standard amount of video memory (128 kB, 512 kB, 1 MB, 2 MB, etc.).
An image that is 2048 pixels in width and 1536 pixels in height has a total of 2048×1536 = 3,145,728 pixels or 3.1 megapixels. One could refer to it as 2048 by 1536 or a 3.1-megapixel image. The image would be a very low quality image (72ppi) if printed at about 28.5 inches wide, but a very good quality (300ppi) image if printed at about 7 ...
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]
For example, a 100×100 pixel image printed in a 2 inch square has a resolution of 50 pixels per inch. Used this way, the measurement is meaningful when printing an image. In many applications, such as Adobe Photoshop, the program is designed so that one creates new images by specifying the output device and PPI (pixels per inch).
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