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  2. 16:9 aspect ratio - Wikipedia

    en.wikipedia.org/wiki/16:9_aspect_ratio

    16:9 is a widescreen aspect ratio with a width of 16 units and height of 9 units. Once seen as an "exotic" aspect ratio, [ 1 ] since 2009, it has become the most common aspect ratio for televisions and computer monitors , and is also the universal standard image format for the universal 1080p , 2160p and 4320p formats.

  3. Pixel aspect ratio - Wikipedia

    en.wikipedia.org/wiki/Pixel_aspect_ratio

    The ratio of the width to the height of an image is known as the aspect ratio, or more precisely the display aspect ratio (DAR) – the aspect ratio of the image as displayed; for TV, DAR was traditionally 4:3 (a.k.a. fullscreen), with 16:9 (a.k.a. widescreen) now the standard for HDTV.

  4. JPEG File Interchange Format - Wikipedia

    en.wikipedia.org/wiki/JPEG_File_Interchange_Format

    The bytes s1 and s2 are taken together to represent a big-endian 16-bit integer specifying the length of the following "data bytes" plus the 2 bytes used to represent the length. In other words, s1 and s2 specify the number of the following data bytes as 256 ⋅ s 1 + s 2 − 2 {\displaystyle 256\cdot s1+s2-2} .

  5. Aspect ratio (image) - Wikipedia

    en.wikipedia.org/wiki/Aspect_ratio_(image)

    Many digital video cameras have the capability to record in 16:9 (= 4 2:3 2), and 16:9 is the only widescreen aspect ratio natively supported by the DVD standard. DVD producers can also choose to show even wider ratios such as 1.66:1, 1.75:1, 1.77:1 and 1.78:1 [ 1 ] within the 16:9 DVD frame by hard matting or adding black bars within the image ...

  6. Wikipedia:Extended image syntax - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Extended_image...

    The parameter upright=1 returns the same size as thumbnail width, and upright=0.75 is functionally identical to upright alone. If you set scaling factor equal to the image's aspect ratio (width divided by height) the result is equivalent to scaling the height to be equal to the normal thumbnail width.

  7. Image conversion - Wikipedia

    en.wikipedia.org/wiki/Image_conversion

    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.