针对暗通道先验算法在大片天空区域透射率估计过小及景深突变处出现Halo效应的问题，提出一种结合Lab空间和单尺度Retinex的图像去雾算法。将RGB图像转换至Lab空间提取出亮度分量，利用Canny算子对亮度分量提取边缘信息，丰富恢复图像细节；利用单尺度Retinex对非边缘区域进行高斯自适应滤波估计出优化后的亮度分量，获得“伪”去雾图像，得到粗略的透射率；利用交叉双边滤波优化透射率消除Halo效应；最后根据大气散射模型恢复出无雾图像。实验结果表明，该方法恢复出的图像细节明显，整体平滑，且对含大片天空区域的图像也有较好的恢复效果。
Abstract
Aiming at the small transmittance estimate and the Halo effect caused by the sudden change in the depth of field of the dark channel prior algorithm in the large sky area, an image defogging algorithm combined with lab space and single-scale retinex was proposed. Firstly, the RGB image was transferred to the lab space to extract the luminance component, and the edge information of this was extracted by the Canny operator to enrich the details of the restored image. Secondly, the single-scale retinex was used to perform a Gaussian adaptive filtering of the non-edge region to estimate the optimized luminance component, and the “false” defogging image as well as the rough transmittance was obtained. Then, the cross-bilateral filtering was used to eliminate the Halo effect by optimizing the transmittance. Finally, the defogging image was recovered on the basis of the atmospheric scattering model. The experimental results show that the image recovered by this method is clear and smooth overall, and also has a good recovery effect on images with large sky areas.
关键词
暗通道 /
“伪”去雾图 /
边缘保持 /
Lab空间 /
图像处理
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Key words
image processing /
“pseudo” dehazing image /
edge-preserving /
lab space /
dark channel
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参考文献
代书博, 徐伟, 朴永杰, 等. 基于暗原色先验的遥感图像去雾方法[J]. 光学学报,2017,37(3):0328002.
杨爱萍, 白煌煌. 基于Retinex理论和暗通道先验的夜间图像去雾算法[J]. 激光与光电子学进展,2017,54(4):147-153.
代晴晴, 范之国, 宋强, 等. 全局参数自动估计的彩色图像偏振去雾方法[J]. 应用光学,2018,39(4):511-517.
DAI Shubo, XU Wei, PU Yongjie, et al. Remote sensing image dehazing based on dark channel prior[J]. Acta Optica Sinica,2017,37(3):0328002.
WANG W C, YUAN X H. Recent advances in image dehazing[J]. CAA Journal of Automatica Sinica,2017,4(3):410-436.
YANG Aiping, BAI Huanghuang. Nighttime image defogging based on the theory of retinex and dark channel prior[J]. Laser & Optoelectronics Progress,2017,54(4):147-153.
KIM J, JANG W, SIM J, 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.
CAI B L, XU X M, JIA K, et al. DehazeNet: an end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing,2016,25(11):5187-5198.
HE K M, SUN J, 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.
MENG G F, WANG Y, DUAN J Y, et al. Effcient image dehazing with boundary cons
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脚注
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