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  2. TinEye - Wikipedia

    en.wikipedia.org/wiki/TinEye

    TinEye is a reverse image search engine developed and offered by Idée, Inc., a company based in Toronto, Ontario, Canada. It is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. [1] [non-primary source needed] TinEye allows users to search not using keywords but with ...

  3. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    An image search engine is a search engine that is designed to find an image. The search can be based on keywords, a picture, or a web link to a picture. The results depend on the search criterion, such as metadata, distribution of color, shape, etc., and the search technique which the browser uses.

  4. Image color transfer - Wikipedia

    en.wikipedia.org/wiki/Image_color_transfer

    The image modification process is sometimes called color transfer or, when grayscale images are involved, brightness transfer function (BTF); it may also be called photometric camera calibration or radiometric camera calibration. The term image color transfer is a bit of a misnomer since most common algorithms transfer both color and shading ...

  5. Negative (photography) - Wikipedia

    en.wikipedia.org/wiki/Negative_(photography)

    A negative color image is additionally color-reversed, [6] with red areas appearing cyan, greens appearing magenta, and blues appearing yellow, and vice versa. Under a phenomenon known as the ‘negative picture illusion’, a negative image can be briefly experienced by the human visual system where an afterimage persists subsequent to a ...

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  7. Grayscale - Wikipedia

    en.wikipedia.org/wiki/Grayscale

    Here is an example of color channel splitting of a full RGB color image. The column at left shows the isolated color channels in natural colors, while at right there are their grayscale equivalences: Composition of RGB from three grayscale images. The reverse is also possible: to build a full-color image from their separate grayscale channels.

  8. Gamma correction - Wikipedia

    en.wikipedia.org/wiki/Gamma_correction

    Paradoxically, when upsampling (scaling up) an image, the result processed in a "wrong" (non-physical) gamma color space is often more aesthetically pleasing. [36] This is because resampling filters with negative lobes like Mitchell–Netravali and Lanczos create ringing artifacts linearly even though human perception is non-linear and better ...

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