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  2. Wikipedia:How to improve image quality - Wikipedia

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

    Tools[edit] Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a ...

  3. Image quality - Wikipedia

    en.wikipedia.org/wiki/Image_quality

    Image quality can refer to the level of accuracy with which different imaging systems capture, process, store, compress, transmit and display the signals that form an image. Another definition refers to image quality as "the weighted combination of all of the visually significant attributes of an image". [1] : 598 The difference between the two ...

  4. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image scaling. 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 . When scaling a vector graphic image, the graphic primitives that make up the image can be scaled using geometric ...

  5. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Basics of image editing. Raster images are stored in a computer in the form of a grid of picture elements, or pixels. These pixels contain the image's color and brightness information. Image editors can change the pixels to enhance the image in many ways. The pixels can be changed as a group, or individually, by the sophisticated algorithms ...

  6. Image resolution - Wikipedia

    en.wikipedia.org/wiki/Image_resolution

    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.

  7. Image fidelity - Wikipedia

    en.wikipedia.org/wiki/Image_fidelity

    Image fidelity, often referred to as the ability to discriminate between two images or how closely the image represents the real source distribution. Different from image quality, which is often referred to as the subject preference for one image over another, image fidelity represents to the ability of a process to render an image accurately, without any visible distortion or information loss.

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