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  2. Wikipedia : Manual of Style/Images

    en.wikipedia.org/.../Images

    Images that were colorized by their creator, an expert, or a reliable source may sometimes be acceptable. AI upscaling software should generally not be used to increase the resolution or quality of an old or low-resolution image. Original historical images should always be used in place of AI upscaled versions.

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    These parameters work together to produce a printed image of the desired size and quality. Pixels per inch of the image, pixel per inch of the computer monitor, and dots per inch on the printed document are related, but in use are very different. The Image Size dialog can be used as an image calculator of sorts.

  4. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    When scaling a vector graphic image, the graphic primitives that make up the image can be scaled using geometric transformations with no loss of image quality. When scaling a raster graphics image, a new image with a higher or lower number of pixels must be generated. In the case of decreasing the pixel number (scaling down), this usually ...

  5. File:Shopify logo.svg - Wikipedia

    en.wikipedia.org/wiki/File:Shopify_logo.svg

    This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.

  6. Image quality - Wikipedia

    en.wikipedia.org/wiki/Image_quality

    Image quality can be assessed using objective or subjective methods. In the objective method, image quality assessments are performed by different algorithms that analyze the distortions and degradations introduced in an image. Subjective image quality assessments are a method based on the way in which humans experience or perceive image quality.

  7. Edge enhancement - Wikipedia

    en.wikipedia.org/wiki/Edge_enhancement

    Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.

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