Improved image defogging method and its application in video monitoring system based on ARM
Abstract
Purpose
The purpose of this paper is to improve an image defogging algorithm based on a dark channel prior and use this method to clear the foggy image on the Advanced RISC (Reduced Instruction Set Computing) Machines (ARM) platform.
Design/methodology/approach
The divided strategy of the foggy image was proposed through the estimation of the brightness and transmission thresholds. The two regions of the foggy image were processed using two transmissions. Many foggy images were tested using the improved method.
Findings
The finding resulting from this study is that a divided strategy has been proposed to use the image defogging. Compared with the existing methods, the running time of the improved method is less on the ARM platform.
Practical implications
Image enhancement is an important technology of digital images, and the quality of images plays a key role in the video monitoring and the intelligent transportation system.
Originality/value
This paper presented an improved image defogging method using the divided strategy and a substantial number of experimental results was provided to demonstrate this method.
Keywords
Acknowledgements
This work was supported by the Beijing University of Chemical Technology Interdisciplinary Funds for “Visual Media Computing” and Beijing Training Programme Foundation for the Talents No.2012B009016000004.
Citation
Zhu, H., Yin, X. and Wang, X. (2014), "Improved image defogging method and its application in video monitoring system based on ARM", Sensor Review, Vol. 34 No. 3, pp. 266-272. https://doi.org/10.1108/SR-05-2012-684
Publisher
:Emerald Group Publishing Limited
Copyright © 2014, Emerald Group Publishing Limited