Abstract
ABSTRACT Cloud and fog always lead to unbalance brightness in digital images, which limit information recognition and extraction. Based on an assumption that a cloud-fog covered image is an overlaying result of a normal ground image and a cloud-fog maskimage, this paper proposes an improved method for balancing brightness of digital image by removing cloud-fog effect through the following four steps: generating cloud-fog mask image, subtracting cloud-fog maskimage, choosing reference image, and locally adaptive enhancing. Additionally, in order to avoid time-consuming for large images, a parallel solution is introduced for accelerating the method based on graphics processing unit (GPU) acceleration. Finally, the method was tested by using different cloud-fog covered images, and the experiments verify that the method is effective at balancing brightness and its efficiency can be significantly improved through central processing unit and graphics processing unit (CPU-GPU) cooperative computing.
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