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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 physical sizes (e.g. lines per mm, lines per inch), to the overall size of a picture (lines per picture height, also known simply as lines, TV lines, or TVL), or to angular ...
Then the resolution-independent version is rendered as a raster image at the desired resolution. This technique is used by Adobe Illustrator Live Trace, Inkscape, and several recent papers. [6] Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity.
Versatile and future-proof size limits: JPEG XL supports ultra-high-resolution images (up to 1 terapixel) with dimensions of over a billion (2 30-1) pixels per side, [44] sample precision of up to 32 bits, e.g. for HDR content. up to 4099 channels/components: either one (grayscale), three , or four main channels.
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.
Current technology for creating such very high-resolution images usually involves either making digital image mosaics of many high-resolution digital photographs or using a film negative as large as 12" × 9" (30 cm × 23 cm) up to 18" × 9" (46 cm × 23 cm), which is then scanned with a high-end large-format film scanner with at least 3000 dpi ...
Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.
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