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In the US, size names are often denoted with a code of the format nR, where the number n represents the length of the shorter edge in inches. In the normal series, the long edge is the length of the short edge plus 2 inches (10 in or less) or 3 inches (11 in and above).
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 pixel number of 6,000x4,000 ist the number of "effective pixels". The sensor usually has a few extra rows of pixels on all four sides, which explains the sensor resolution of 24.3 MPixels often stated, but no information about the exact image size available.) 6,016 4,000 24,064,000 24.1 Nikon D3300 Canon M50: 6,048 4,032 24,385,536 24.4
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.
Image resolution is the level of detail of an image. The term applies to digital images, film images, and other types of images. "Higher resolution" means more image detail. Image resolution can be measured in various ways. Resolution quantifies how close lines can be to each other and still be visibly resolved. Resolution units can be tied to ...
20mm f / 2.8 (legacy) 28mm f / 2.8 (legacy) 35mm f / 1.4 G (new) 50mm f / 1.4 (legacy) 50mm f / 2.8 Macro (legacy) 85mm f / 1.4 Zeiss (new) 100mm f / 2.8 Macro (legacy) 135mm f / 1.8 Zeiss (new) 135mm f / 2.8 STF (legacy) 300mm f / 2.8 G (new) 500mm f / 8 Reflex (legacy) 11–18mm f / 4.5–5.6 (legacy) 16–80mm f / 3.5–4.5 Zeiss (new) 18 ...
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