An Improved Histogram Equalization Approach for Optical Remote Sensing Images Enhancement

In this paper, we study the problem of enhancing optical remote sensing images, in order to mitigate the conflicts between processing speed and effectiveness. Optical remote sensing images, other than general optical images, contain a large amount of information, limiting the processing speed. Moreover, the contrast ratio of the images is relatively low, thus requiring a further process for a better visual interpretation. In the procedure of mass data processing and displaying, speed is essential. Unlike previous works, we propose a new framework of combining two ideas, using Intel Integrated Performance Primitive (IPP) and applying improved histogram equalization algorithm. Specifically, this improved approach, cascades the linear transformation and Contrast Limited Adaptive Histogram Equalization (CLAHE), achieves a considerable promotion on processing effect in optical remote sensing images. Afterwards, we call functions in IPP library to accelerate the displaying speed. The experimental results show that our method reaches a satisfied effectiveness, while having a considerable processing speed for processing optical remote sensing images.