An Improved Brightness Balancing Method and its GPU Acceleration for Digital Images

Rui-Bin Zhao; Yan-Ling  Zhang; Ming-Yong  Pang; Sheng-Hui  Zhao

doi:10.6180/jase.2016.19.4.14

An Improved Brightness Balancing Method and its GPU Acceleration for Digital Images

Computer Science and Information Engineering

Rui-Bin Zhao^1,3, Yan-Ling Zhang This email address is being protected from spambots. You need JavaScript enabled to view it.², Ming-Yong Pang¹ and Sheng-Hui Zhao²

¹Department of Education Technology, Nanjing Normal University, Nanjing, P.R. China
²School of Computer and Information Engineering, Chuzhou University, Chuzhou, P.R. China
³Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou, P.R. China

Received: January 26, 2016
Accepted: July 13, 2016
Publication Date: December 1, 2016

Download Citation: ||https://doi.org/10.6180/jase.2016.19.4.14

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.

Keywords: Digital Images, Brightness Balancing, Cloud-fog Removing, GPU Acceleration

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