Remote sensing image enhancement based on wavelet analysis and histogram specification
Liang Xie, Guoyin Wang, Xuerui Zhang, Bin Jie Xiao, Botian Zhou, Fan Zhang · 2014
In order to monitor the water quality widely and rapidly in The Three Gorges zone, it's useful to gain the information in real-time by remote sensing images, but there are some defects in remote sensing images, such as bad visual contrast, low-resolution, and low brightness. Other than general optical images, remote sensing images contain a large amount of information; its processing is time consuming. In order to improve the contrast and details of the image and reduce the complication of compute, an image enhancement approach based on wavelet and histogram specification is proposed in this paper. From the experiment results and comparison with the original image, we can see that the contrast improved by about 200% and information entropy improved by about 107%. Our proposed algorithm not only enhances the details of image greatly, but also preserves the color information of original remote sensing image effectively. Since this method do not convert the color image to other color space, the computation complexity is simple, so it is an efficient algorithm for remote sensing image enhancement in real-time.