An Adaptive Closed-loop Image Dehazing Algorithm Based on the Feedback Mechanism
MA Shiping① LI Quanhe① ZHANG Shengchong②
①(Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China) ②(Optical Information Control and Security Technology Laboratory, Sanhe 065201, China)
To solve the problem of low adaptability in existing dehazing algorithms caused by the randomness and complexity of atmospheric environment, an adaptive closed-loop dehazing algorithm based on the feedback mechanism is proposed. Firstly, parameters in the proposed algorithm are initialized according to human visual system based characteristic cognitive assessment. Secondly, the estimation of dehazing strength is given as the feedback to correct parameters of local contrast adjustment method, and then adaptively improve the local contrast of image after removing additive light. Finally, the terminating condition is set according to the naturalness of image after dehazing to determine whether to output the result. Experimental results show that the proposed algorithm can adaptively improve the contrast of hazy images with a variety of degradation types and degrees, and the evaluation of information entropy and definition of dehazing results is better than those of other existing algorithms.
马时平,李权合,张晟翀. 一种基于反馈机制的闭环图像去雾算法[J]. 电子与信息学报, 2016, 38(2): 400-407.
MA Shiping, LI Quanhe, ZHANG Shengchong. An Adaptive Closed-loop Image Dehazing Algorithm Based on the Feedback Mechanism. JEIT, 2016, 38(2): 400-407.
KRISTOFOR B G and TRUONG Q N. An analysis and method for contrast enhancement turbulence mitigation[J]. IEEE Transactions on Image Processing, 2014, 23(7): 3179-3190.
[2]
WANG Y K and FAN C . Single image defogging by multiscale depth fusion[J]. IEEE Transactions on Image Processing, 2014, 23(11): 4826-4837.
[3]
SUN X M, SUN J X, ZHAO L R, et al. Improved single image haze removal using dark channel prior[J]. Journal of Image and Graphics, 2014, 19(3): 381-385.
[4]
SCHECHNER Y Y, NARASIMHAN S G, and NAYAR S K. Polarization-based vision through haze[J]. Appled Optics, 2003, 42(3): 511-525.
[5]
NARASIMHAN S G and NAYAR S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(6): 713-724.
[6]
DING M and TONG R F. Efficient dark channel based image dehazing using quadtrees[J]. SCIENCE CHINA Information Sciences, 2013, 56(9): 231-239.
[7]
XIONG Y Q, YAN H, and YU C. Improved haze removal algorithm using dark channel prior[J]. Journal of Computational Information Systems, 2013, 9(14): 5743-5750.
PANG Chunying, JI Xiaoqiang, SUN Lina, et al. An improved method of image fast defogging[J]. Acta Photonica Sinica, 2013, 42(7): 872-877.
[9]
GIBSON K B, VO D T, and NGUYEN T Q. An investigation of dehazing effects on image and video coding[J]. IEEE Transactions on Image Processing, 2012, 21(2): 662-673.
[10]
KIM J H, JANG W D, SIM J Y, et al. Optimized contrast enhancement for real-time image and video dehazing[J]. Journal of Visual Communication and Image Representation, 2013, 24(3): 410-425.
[11]
SHIAU Y H, YANG H Y, CHEN P Y, et al. Hardware implementation of a fast and efficient haze removal method [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2013, 23(8): 1369-1374.
[12]
HE K M, SUN J, and TANG X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353.
[13]
BOSSU J, HAUTIERE N, and TAREL J P. Rain or snow detection in image sequences through use of a histogram of orientation of streaks[J]. International Journal of Computer Vision, 2011, 93(3): 348-367.
[14]
NISHINO K, KRATZ L, and LOMBARDI S. Bayesian defogging[J]. International Journal of Computer Vision, 2012, 98(4): 263-278.
FANG Wen and LIU Binghan. Dehazing algorithm based on dark channel with feedback regulation mechanism[J]. Journal of Computer Applications, 2013, 33(7): 1998-2001.
[16]
WALTHER D and KOCH C. Modeling attention to salient proto-objects[J]. Neural Networks, 2006, 19(9): 1395-1407.
WANG Shoujue, DING Xinghao, LIAO Yinghao, et al. A novel bio-inspired algorithm for color image enhancement[J]. Acta Electronica Sinica, 2008, 36(10): 1970-1973.
[18]
PARIS S and DURAND F. A fast approximation of the bilateral filter using a signal processing approach[J]. International Journal of Computer Vision, 2009, 81(1): 24-52.
[19]
YANG Q X, TAN K H, and AHUJA N. Real-time O(1) bilateral filtering[C]. Proceedings of the 27th IEEE Conference on Computer Vision and Pattern Recognition, Miami, USA, 2009: 557-564.
[20]
KIMMEL R, ELAD M, SHAKED D, et al. A variational framework for Retinex[J]. Computer Vision, 2003, 52(1): 7-23.
[21]
HE K M, SUN J, and TANG X O. Single image haze removal using dark channel prior[C]. Proceedings of the 27th IEEE Conference on Computer Vision and Pattern Recognition, Miami, USA, 2009: 1956-1963.
CHEN Jimeng, CHEN Jiajun, LIU Jie, et al. Clustering algorithm for large-scale social networks based on structural similarity[J]. Journal of Electronics & Information Technology, 2015, 37(2): 449-454. doi: 10.11999/JEIT140512.
