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[1] [2] According to the same standards, the "Number of Effective Pixels" that an image sensor or digital camera has is the count of pixel sensors that contribute to the final image (including pixels not in said image but nevertheless support the image filtering process), as opposed to the number of total pixels, which includes unused or light ...
(* 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
For example, a camera that makes a 2048 × 1536 pixel image (3,145,728 finished image pixels) typically uses a few extra rows and columns of sensor elements and is commonly said to have "3.2 megapixels" or "3.4 megapixels", depending on whether the number reported is the "effective" or the "total" pixel count. [21]
The pixel count of an image is related to its spatial resolution and is often used as a figure of merit. The quantity of picture elements in the image sensor is usually counted in millions and called "megapixels". [3] Sensor pixel density sets a limit on the final output resolution of images captured with that sensor. [4]
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Example video in 16K (16000 × 9000 pixels) A VR video in 16K (16000 × 8000 pixels) 16K resolution is a display resolution with approximately 16,000 pixels horizontally. The most commonly discussed 16K resolution is 15360 × 8640, which doubles the pixel count of 8K UHD in each dimension, for a total of four times as many pixels. [1]
Pixels per inch (or pixels per centimetre) describes the detail of an image file when the print size is known. 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.
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