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Color restoration algorithm using color instance-based reasoning  is proposed. The proposed system does not employ a physical model but color  instance. The color instance, Color Change Vector, is defined based on  distribution of color values for 175 color scheme cards taken under low and  standard illuminations. Modification of CCV is proposed based on color value  and linguistic expression. The given image is restored by adding the  appropriate color instances for a given color value. A prototype system for  color restoration is constructed. An experiment is done with dynamic images  of an outdoor walking person, to evaluate the performance of the proposed  system in terms of color-difference and processing time. The proposed method  presents a foundation for identifying a person captured by a practical  security system using a low cost CCD camera.

Color Restoration Algorithm Based on Color Instance Under Low Illumination