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We present the framework for a color contrast enhancement using an illumination estimation, color balancing and color dynamic range expansion based on characteristics of a object reflectance, effect of illumination and human face color depending on human race. The method aims to emulate the way in which the human visual system discriminates original color and opposite color for increasing color contrast...
Color constancy (CC) or white balance (WB) is an important image processing step in digital camera and machine vision. This paper presents a robust computational algorithm that offers an accurate solution for CC. The proposed CC measure exploits the scanning strategy of RGB channel gain adjustment. In addition, the suppressing mechanism of grayscale pixel maximization (GPM) is used to locate potential...
In this paper, we propose a manifold-based methodology for color constancy. It is observed that the center surround information of an image creates a manifold in color space. The relationship between the points in the manifold is modeled as a line. The human visual system is capable of learning these relationships. This is the basis of color constancy. In illumination correction, the image in the...
We address the problem of contrast enhancement for color images. Methods directly derived from gray-level enhancement such as histogram equalization produce significant artifacts, including severe color shifts. Other enhancement techniques that are derived from the Retinex theory may suffer from strong `halo' effects. Our method to enhance images is inspired from the Retinex theory and tries to mimic...
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