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  2. Structural similarity index measure - Wikipedia

    en.wikipedia.org/wiki/Structural_similarity...

    The SSIM index is a full reference metric; in other words, the measurement or prediction of image quality is based on an initial uncompressed or distortion-free image as reference. SSIM is a perception -based model that considers image degradation as perceived change in structural information, while also incorporating important perceptual ...

  3. Image quality - Wikipedia

    en.wikipedia.org/wiki/Image_quality

    Image quality assessment is part of the quality of experience measures. Image quality can be assessed using two methods: subjective and objective. Subjective methods are based on the perceptual assessment of a human viewer about the attributes of an image or set of images, while objective methods are based on computational models that can ...

  4. Contrast-to-noise ratio - Wikipedia

    en.wikipedia.org/wiki/Contrast-to-noise_ratio

    Contrast-to-noise ratio (CNR) [1] is a measure used to determine image quality. CNR is similar to the metric signal-to-noise ratio (SNR), but subtracts a term before taking the ratio. This is important when there is a significant bias in an image, such as from haze. [2]

  5. Signal-to-noise ratio (imaging) - Wikipedia

    en.wikipedia.org/wiki/Signal-to-noise_ratio...

    ISO 15739:2003, Photography – Electronic still-picture imaging – Noise measurements: specifies methods for measuring and reporting the noise versus signal level and dynamic range of electronic still-picture cameras. It applies to both monochrome and colour electronic still-picture cameras.

  6. Peak signal-to-noise ratio - Wikipedia

    en.wikipedia.org/wiki/Peak_signal-to-noise_ratio

    For color images with three RGB values per pixel, the definition of PSNR is the same except that the MSE is the sum over all squared value differences (now for each color, i.e. three times as many differences as in a monochrome image) divided by image size and by three.

  7. Visual information fidelity - Wikipedia

    en.wikipedia.org/wiki/Visual_information_fidelity

    Visual information fidelity (VIF) is a full reference image quality assessment index based on natural scene statistics and the notion of image information extracted by the human visual system. [1] It was developed by Hamid R Sheikh and Alan Bovik at the Laboratory for Image and Video Engineering (LIVE) at the University of Texas at Austin in 2006

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  9. Evaluation measures (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Evaluation_measures...

    Two other commonly used F measures are the measure, which weights recall twice as much as precision, and the measure, which weights precision twice as much as recall. The F-measure was derived by van Rijsbergen (1979) so that F β {\\displaystyle F_{\\beta }} "measures the effectiveness of retrieval with respect to a user who attaches β ...

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