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  2. 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.

  3. iCAM (color appearance model) - Wikipedia

    en.wikipedia.org/wiki/ICAM_(color_appearance_model)

    It can describe the aspects of color appearance phenomena and metrics of color differences, and it is used to obtain color gamut mapping calculations based on the perception of the human eye. [ 5 ] iCAM uses image's spatial aspects of vision and adapts stimulus to become a low-passing image.

  4. Color depth - Wikipedia

    en.wikipedia.org/wiki/Color_depth

    Color depth, also known as bit depth, is either the number of bits used to indicate the color of a single pixel, or the number of bits used for each color component of a single pixel. When referring to a pixel, the concept can be defined as bits per pixel (bpp).

  5. Histogram equalization - Wikipedia

    en.wikipedia.org/wiki/Histogram_equalization

    For example, if applied to 8-bit image displayed with 8-bit gray-scale palette it will further reduce color depth (number of unique shades of gray) of the image. Histogram equalization will work the best when applied to images with much higher color depth than palette size, like continuous data or 16-bit gray-scale images.

  6. Radiography - Wikipedia

    en.wikipedia.org/wiki/Radiography

    Image quality will depend on resolution and density. Resolution is the ability of an image to show closely spaced structure in the object as separate entities in the image while density is the blackening power of the image. Sharpness of a radiographic image is strongly determined by the size of the X-ray source.

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

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

    Traditionally, SNR is defined to be the ratio of the average signal value to the standard deviation of the signal : [2] [3] = when the signal is an optical intensity, or as the square of this value if the signal and noise are viewed as amplitudes (field quantities).

  8. Multispectral optoacoustic tomography - Wikipedia

    en.wikipedia.org/wiki/Multispectral_optoacoustic...

    Each image came from a different patient. (c) MSOT imaging of melanin (in color) overlaid on a background image of tissue. The first image shows a patient without melanoma metastasis. The second image shows a patient with melanoma metastasis inside the sentinel lymph node. In both cases, strong melanin signal from the skin can be seen

  9. Optical resolution - Wikipedia

    en.wikipedia.org/wiki/Optical_resolution

    The ability of a lens to resolve detail is usually determined by the quality of the lens, but is ultimately limited by diffraction.Light coming from a point source in the object diffracts through the lens aperture such that it forms a diffraction pattern in the image, which has a central spot and surrounding bright rings, separated by dark nulls; this pattern is known as an Airy pattern, and ...