What is Milano Retinex family in image enhancement?
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The Milano Retinex family is a collection of spatial color algorithms inspired by the Retinex theory and primarily used for image enhancement. These algorithms process the color channels of an input image independently and adjust the intensity of each pixel based on a local reference white value. The specific parameters and mathematical models used in each algorithm determine the level of enhancement achieved. The Milano Retinex family includes various implementations, such as point-based sampling algorithms and segmentation-based approximations. These algorithms aim to improve the visual content of real-world color images by enhancing spatial and color cues in the neighborhood of each pixel. They have been shown to be effective in image processing tasks and can be optimized for real-time applications.
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12 Citations | The Milano Retinex family refers to a group of spatial color algorithms based on the Retinex theory that are used to enhance the visual content of real-world color images. The algorithms process the color channels of the input image independently and adjust the intensity of each pixel based on a local reference white value. The specific parameters used in the algorithms determine the level of enhancement. |
33 Citations | The Milano-Retinex family is a collection of image enhancement algorithms developed by the Department of Computer Science of Universita degli Studi di Milano. They mimic some mechanisms of the human vision system and have different implementations that sample the image, use a reset mechanism, and calculate the new pixel value. |
16 Citations | The paper describes a spatial color algorithm called Milano Retinex, which is used for image enhancement by processing spatial and color cues in the neighborhood of each image pixel. |
32 Citations | The paper describes Milano Retinex as a family of spatial color algorithms inspired by Retinex and mainly used for image enhancement. |
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