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Symmetry 2017, 9(6), 93; doi:10.3390/sym9060093

Image Enhancement for Surveillance Video of Coal Mining Face Based on Single-Scale Retinex Algorithm Combined with Bilateral Filtering

1
School of Mechatronic Engineering, China University of Mining & Technology, No. 1 Daxue Road,Xuzhou 221116, China
2
Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining & Technology, No. 1 Daxue Road,Xuzhou 221116, China
3
Zhejiang HuaRay Technology Co., Ltd., No. 1181Binan Road, Hangzhou310052, China
*
Author to whom correspondence should be addressed.
Academic Editor: Angel Garrido
Received: 19 April 2017 / Revised: 3 June 2017 / Accepted: 12 June 2017 / Published: 19 June 2017
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Abstract

Surveillance videos of coal mining faces have close relation to the safety of coal miners and mining efficiency. However, surveillance videos are always disturbed by some severe conditions such as atomization, low illumination, glare, and so on. Therefore, this paper proposed a hybrid algorithm (SSR-BF) based on the integration of single-scale Retinex (SSR) and bilateral filtering (BF) to enhance the image quality of surveillance videos. BF was coupled with SSR to reduce the noises and perfect the edge information in the image. The schematic diagram and pseudocode of SSR-BF was designed, and the parameters were set rationally to ensure the enhancement effects through some simulations. Finally, some comparisons with other methods were carried out, and the simulation results demonstrated that the proposed algorithm was superior to others and could be applied to image enhancement for poormonochrome images, especially the surveillance video of a coal mining face. View Full-Text
Keywords: image enhancement; image de-noising; single-scale Retinex; bilateral filtering (BF) image enhancement; image de-noising; single-scale Retinex; bilateral filtering (BF)
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Si, L.; Wang, Z.; Xu, R.; Tan, C.; Liu,, X.; Xu, J. Image Enhancement for Surveillance Video of Coal Mining Face Based on Single-Scale Retinex Algorithm Combined with Bilateral Filtering. Symmetry 2017, 9, 93.

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