Fusion Enhancement of Color Image Based on Global Histogram Equalization

A novel color image enhancement algorithm based on global histogram equalization (HE) was proposed, considering that global histogram equalization is easy to produce color distortion when color images are enhanced. Firstly each component of original RGB image is implemented global histogram equalization separately. Secondly original RGB image and equalized RGB image are all executed wavelet transform, and wavelet detail coefficients of the former are replaced by those of the latter, at that time wavelet approximate coefficients of original image are hold the line. Finally wavelet reconstructed image and original image are fused. The experiment results demonstrate that our algorithm not only inherits contrast improvement power of global histogram equalization, but also overcomes its defect being easy to bring color distortion. Furthermore, computation complexity is simple and any parameter needs not to be specified for the algorithm. So it is an efficient adaptive algorithm for color image enhancement.