A Multi-Color Space Information Fusion Algorithm for Image Enhancement

In the process of color image acquisition,due to inhomogeneous illumination and other reasons,the collected images have features of large dynamic range and details blur.So this paper proposes a method for enhancing the color images based on information fusion of multi-color space and homomorphic filters.First,in RGB color space,the three components are processed by using the homomorphic filtering and the adaptive clipping stretch methods respectively to eliminate illumination effect and enhance the local details effectively.Then,in HSV color space,the V component of modified by the nonlinear transformation function structured is used to make illumination compensation to the image.And the H and S component of the original image is used to restore the color information.The experimental results suggest that the proposed method shows better in the aspects of dynamic range compression,enhancement of the detail of bright and dark areas and keeping the color consistency.