Citation: | WANG Jian, QIN Chunxia, YANG Ke, REN Ping, ZHENG Jie, ZHAO Yuanpeng, CHEN Guifeng. Design of Airborne Video Dehazing System for UCAV Based on HSV Transmission Weighted Correction[J]. Journal of Southwest Jiaotong University, 2021, 56(1): 160-167, 205. doi: 10.3969/j.issn.0258-2724.20190985 |
HE Kaiming, SUN Jian, TANG Xiaoou, et al. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(12): 2341-2353. doi: 10.1109/TPAMI.2010.168
|
HE Kaiming, SUN Jian, TANG Xiaoou, et al. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409. doi: 10.1109/TPAMI.2012.213
|
BERMAN D, TREIBITZ T, AVIDAN S. Non-local image dehazing[C]//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition. Los Alamitos: IEEE Computer Society Press, 2016: 1674-1682
|
MENG G F, WANG Y, DUAN J Y, et al. Efficient image dehazing with boundary constraint and contextual regularization[C]//Proceedings of the IEEE International Conference on Computer Vision. Los Alamitos: IEEE Computer Society Press, 2013: 617-624.
|
范新南,冶舒悦,史朋飞,等. 改进大气散射模型实现的图像去雾算法[J]. 计算机辅助设计与图形学学报,2019,31(7): 1148-1155.
FAN Xinnan, YE Shuyue, SHI Pengfei, et al. An image dehazing algorithm based on improved atmospheric scattering model[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(7): 1148-1155.
|
CHEN Xuesong, LU Haihua, CHENG Kaili, et al. Sequentially refined spatial and channel-wise feature aggregation in encoder-decoder network for single image dehazing[C]//IEEE International Conference on Image Processing. [S.l.]: IEEE, 2019: 2776-2780.
|
HU Haimiao, ZHANG Hongda, ZHAO Zichen, et al. Adaptive single image dehazing using joint local-global illumination adjustment[J]. IEEE Transactions on Multimedia, 2020, 22(6): 1485-1495. doi: 10.1109/TMM.2019.2944260
|
ZHAO D, XU L, YAN Y, et al. Multi-scale optimal fusion model for single image dehazing[J]. Signal Processing-Image Communication, 2019, 74: 253-265. doi: 10.1016/j.image.2019.02.004
|
LIU P J, HORNG S J, LIN J S, et al. Contrast in haze removal:configurable contrast enhancement model based on dark channel prior[J]. IEEE Transactions on Image Processing, 2019, 5(28): 2212-2227.
|
QIN M J, XIE F Y, W Li, et al. Dehazing for multi-spectral remote sensing images based on a convolutional neural network with the residual architecture[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(5): 1645-1655.
|
SINGH P, KOMODAKIS N. Cloud-gan: cloud removal for sentinel-2 imagery using a cyclic consistent generative adversarial networks[C]//IEEE International Geoscience and Remote Sensing Symposium. [S.l.]: IEEE, 2018: 1772-1775.
|
DING J, YAN Z, WEI X, et al. Light-weight residual learning for single image dehazing[J]. Journal of Elec- tronic Imaging, 2019, 28(3): 033013.1-033013.13.
|
周晓波,何魁华,周聪. 基于FPGA的图像高速去雾实时系统设计实现[J]. 电视技术,2018,42(4): 67-72.
ZHOU Xiaobo, HE Kuijua, ZHOU Cong, et al. Design and implementation of high-speed real-time image dehazing system based on FPGA[J]. Video Engineering, 2018, 42(4): 67-72.
|
张海斌. 基于Zynq实时视频图像去雾系统的设计[D]. 上海: 上海师范大学, 2018.
|
匡娇娇,张瑞珏,王慧芳. 改进的暗通道去雾算法在多核DSP上的并行实现[J]. 武汉大学学报(理学版),2016,62(6): 519-524.
KUANG Jiaojiao, ZHANG Ruijue, WANG Huifang, et al. Parallel implementaiton of improved dark channel dehazing algorithm on multicores DSP[J]. Journal of Wuhan University of Technology (Natural Science Edition), 2016, 62(6): 519-524.
|
ZHANG B, WEI J. Hardware implementation for haze removal with adaptive filtering[J]. IEEE Access, 2019, 7(11): 142498-142506.
|
Techwell Corporation. Data sheet of TW9912[M/OL]. [S.l.]: Techwell Corporation, 2011[2019-10-08]. http://www.techwelllinc.com.
|
Semtech Corporation. Gennum corporation GS2971 data sheet[M/OL]. [S.l.]: Semtech Corporation, 2009[2019-10-08]. http://www.semtech.com.
|
Surveillance Semiconductor. TS1601 3D HD video enhance processor product datasheet[M/OL]. [S.l.]: Surveillance Semiconductor, 2012[2019-10-08]. http://www.tssic.com.
|
NXP Semiconductors. i.MX6 dual/6 quad multimedia applications processor reference manual[M/OL]. Freescale: NXP Semiconductors, 2012[2019-10-08]. http://www.nxp.com.cn.
|
王健,辛向龙,张修飞. 基于i.MX6无人机视频码率受控的压缩系统设计[J]. 火力与指挥控制,2016,41(11): 148-152. doi: 10.3969/j.issn.1002-0640.2016.11.034
WANG Jian, XIN Xianglong, ZHANG Xiufei. Design of the embedded video process system based on i.MX6[J]. Fire Control & Command Control, 2016, 41(11): 148-152. doi: 10.3969/j.issn.1002-0640.2016.11.034
|
王健,秦春霞,杨珂,等. 无人机机载视频去雾系统设计[J]. 计算机测量与控制,2020,28(6): 135-139.
WANG Jian, QIN Chunxia, YANG Ke, et al. Design of the airborne video demisting system for UCAV[J]. Computer Measurement & Control, 2020, 28(6): 135-139.
|
耿威. 基于视频图像的雾天能见度检测方法研究与实现[D]. 南京: 东南大学, 2013.
|
李雪,江旻珊. 光学显微成像系统图像清晰度评价函数的对比[J]. 光学仪器,2018,40(1): 28-38.
LI Xue, Jiang Minshan. Comparison of sharpness function based on microscope[J]. Optical Instruments, 2018, 40(1): 28-38.
|
WANG Zhou, BOVIK A C, SHEIKH H R, et al. Image quality assessment:from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 2004, 13(4): 600-612. doi: 10.1109/TIP.2003.819861
|