Citation: | LI Yawei, ZHANG Hong, WU Lingfan, YANG Yifan, CHEN Hao. FPGA-based real-time atmospheric turbulence image restoration algorithm and its implementation[J]. Journal of Applied Optics, 2021, 42(6): 1017-1024. DOI: 10.5768/JAO202142.0602002 |
[1] |
ZHU X, MILANFAR P. Stabilizing and deblurring atmospheric turbulence[C]//2011 IEEE International Conference on Computational Photography (ICCP). USA: IEEE, 2011: 1-8.
|
[2] |
刘彦飞, 代永红, 周浩天, 等. 振动与远场湍流对机载精跟踪终端的影响[J]. 光子学报,2015,44(7):706001-706008. doi: 10.3788/gzxb20154407.0706001
LIU Yanfei, DAI Yonghong, ZHOU Haotian, et al. Effect of vibration and far field turbulence on the fine tracking of airborne optical ccommunication terminal[J]. Acta Photonica Sinica,2015,44(7):706001-706008. doi: 10.3788/gzxb20154407.0706001
|
[3] |
洪汉玉, 喻九阳, 陈以超, 等. 红外目标湍流退化图像的优化复原算法[J]. 应用光学,2006,27(6):510-515.
HONG Hanyu, YU Jiuyang, CHEN Yichao, et al. Optimization restoration algorithm for infrared object turbulence degraded image[J]. Journal of Applied Optics,2006,27(6):510-515.
|
[4] |
张利, 孙传东, 何俊华. 基于成像自适应光学的水下成像系统研究[J]. 应用光学,2010,31(5):690-694.
ZHANG Li, SUN Chuandong, HE Junhua. Underwater imaging system based on adaptive optics[J]. Journal of Applied Optics,2010,31(5):690-694.
|
[5] |
MASAO S, SHIN Y, MASAYUKI T, et al. Super-resolution from image sequence under influence of hot-air optical turbulence[C]//2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage. USA: IEEE, 2008: 1-8.
|
[6] |
ZHU X, MILANFAR P. Image reconstruction from videos distorted by atmospheric turbulence[C]//Visual Information Processing and Communication. International Society for Optics and Photonics. USA: SPIE, 2010: 75430S.
|
[7] |
LAU C P, LAI Y H, LUI L M. Restoration of atmospheric turbulence-distorted images via RPCA and quasiconformal maps[J]. Inverse Problems,2017,35:074002.
|
[8] |
ZHU X, MILANFAR P. Removing atmospheric turbulence via space-invariant deconvolution[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(1):157-170. doi: 10.1109/TPAMI.2012.82
|
[9] |
LAU C P, LAI Y H, LUI L M. Variational models for joint subsampling and reconstruction of turbulence-degraded images[J]. Journal of Science Computer,2019,78:1488-1525. doi: 10.1007/s10915-018-0833-4
|
[10] |
FRIED D L. Probability of getting a lucky short-exposure image through turbulence[J]. Journal of the Optical Society of America,1978,68(12):1651-1658. doi: 10.1364/JOSA.68.001651
|
[11] |
JOHN S, VORONTSOV M A. Multiframe selective information fusion from robust error estimation theory[J]. IEEE Transactions on Image Processing,2005,14(5):577-584. doi: 10.1109/TIP.2005.846022
|
[12] |
AUBAILLY M, VORONTSOV M A, CARHART G W, et al. Automated video enhancement from a stream of atmospherically-distorted images: the lucky-region fusion approach[C]//Atmospheric Optics: Models, Measurements, and Target-in-the-Loop Propagation III. USA: SPIE, 2009, 7463: 74630C.
|
[13] |
鲁啸天, 杨天鸣, 金伟其, 等. 水面波动和水体湍流退化图像的复原方法[J]. 应用光学,2017,38(1):42-55.
LU Xiaotian, YANG Tianming, JIN Weiqi, et al. Correction methods for water fluctuation and underwater turbulence degraded imaging[J]. Journal of Applied Optics,2017,38(1):42-55.
|
[14] |
OREIFEJ O, LI X, SHAH M. Simultaneous video stabilization and moving object detection in turbulence[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,35(2):450-462.
|
[15] |
OREIFEJ O, SHU G, PACE T, et al. A two-stage reconstruction approach for seeing through water[C]//2011 IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, 2011: 1153-1160.
|
[16] |
LAU C P, LAI Y H, LUI L M. Restoration of atmospheric turbulence-distorted images via RPCA and quasiconformal maps[J]. Inverse Problems, 2019, 35(7): 074002.
|
[17] |
ZON N, KIRYATI N. Unified functional framework for restoration of image sequences degraded by atmospheric turbulence[C]//2017 Energy Minimization Methods in Computer Vision and Pattern Recognition. Switzerland: Springer, Cham, 2017: 10746.
|
[18] |
COHEN B, AVRIN V, BELITSKY M, et al. Generation of a restored image from a video sequence recorded under turbulence effects[J]. Optical Enginering,1997,36:3312-3317. doi: 10.1117/1.601592
|
[19] |
GAL R, KIRYATI N, SOCHEN N A. Progress in the restoration of image sequences degraded by atmospheric turbulence[J]. Pattern Recognition Letters,2014,48:8-14. doi: 10.1016/j.patrec.2014.04.007
|
[20] |
MAO Y, GILLES J. Turbulence stabilization[C]//2012 SPIE Conference on Defense, Security and Sensing. USA: SPIE, 2012: 83550H.
|
[21] |
LAU C P, CASTILLO C D, CHELLAPPA R. ATFaceGAN: single face semantic aware image restoration and recognition from atmospheric turbulence[C]//IEEE Transactions on Biometrics, Behavior, and Identity Science. USA: IEEE,2015: 240-251.
|
[22] |
PAUL N, DE CHILLAZ A, COLLETTE J L. On-line restoration for turbulence degraded video in nuclear power plant reactors[J]. Signal, Image and Video Processing,2015(3):601-610.
|
[23] |
Carasso A S, Bright D S, Vladar A E. APEX method and real-time blind deconvolution of scanning electron microscope imagery[J]. Optical Engineering,2002,41:2499-2514. doi: 10.1117/1.1499970
|
[1] | SU Zhengcheng, LI Jun, WU Fan, LAN Shiqi, YAN Bo. Effect of temperature-induced half-wave voltage characteristics of Y-waveguide modulator on resonant fiber optic gyroscope[J]. Journal of Applied Optics, 2024, 45(2): 461-466. DOI: 10.5768/JAO202445.0208003 |
[2] | LIU Junhan, QU Tianliang, ZHANG Xuan, LIU Yanqing, XIONG Changxin. Fabrication of ultra-high Q factor and millimeter-scale crystal echo wall microcavity[J]. Journal of Applied Optics, 2023, 44(4): 742-747. DOI: 10.5768/JAO202344.0401006 |
[3] | HUANG Yueruihan, MA Jiajun, ZHANG Zipeng, LIU Jianning, JIANG Junbiao. Scale factor compensation technology of laser gyro with total reflection prism[J]. Journal of Applied Optics, 2023, 44(2): 444-449. DOI: 10.5768/JAO202344.0207003 |
[4] | HU Tieli, WANG Honghong, LI Siwei, CAO Feng, HU Xinyi, FAN Zhe, YANG Yuxin, GUO Jian, YOU Yue, YANG Ke, LI Hui, YU Yang. Research on temperature control and self-tuning for 30℃~420℃ blackbody[J]. Journal of Applied Optics, 2023, 44(2): 392-397. DOI: 10.5768/JAO202344.0203005 |
[5] | CHEN Wei, LIU Yu, LI Hongtao, SUN Jing, YAN Ning. Improved ViBe algorithm based on adaptive threshold and dynamic update factor[J]. Journal of Applied Optics, 2022, 43(3): 444-452. DOI: 10.5768/JAO202243.0302004 |
[6] | ZHOU Wenqing, FEI Yuming, HONG Guijie, YING Guangyao, YE Xin. Research on magnetic temperature characteristics of zero error on high precision fiber-optic gyro[J]. Journal of Applied Optics, 2020, 41(1): 220-227. DOI: 10.5768/JAO202041.0108001 |
[7] | WANG Xuelian, WU Zhifeng, SONG Guicai, LU Xiaofeng, DAI Caihong. Measurement of absolute linearity using laser covering large-scale dynamic range[J]. Journal of Applied Optics, 2019, 40(4): 681-685. DOI: 10.5768/JAO201940.0407001 |
[8] | Wan Xun, Xie Liangping. Temperature field analysis and structure redesign of fiber optic gyroscopeWan Xun, Xie Liangping[J]. Journal of Applied Optics, 2016, 37(3): 353-358. DOI: 10.5768/JAO201637.0301006 |
[9] | ZHI Jian-hui, DONG Xin-min, KONG Xing-wei, WANG Xu-feng. Analysis of external influence factors in camera calibration[J]. Journal of Applied Optics, 2014, 35(2): 286-291. |
[10] | QIAO Xue-guang, LI Ting, WANG Hong-liang, JIA Zhen-an, LIU Qin-peng, WANG Xiang-yu. Response characteristics of high temperature resistant fiber Bragg grating[J]. Journal of Applied Optics, 2007, 28(2): 209-211. |
1. |
杨朝政,李淑英. 基于虚拟现实技术的激光三维图像优化系统设计. 激光杂志. 2023(04): 152-157 .
![]() | |
2. |
郏露锋,张凯亮. 基于LabVIEW的大视场激光视频图像采集系统. 激光杂志. 2023(04): 259-264 .
![]() | |
3. |
张宇驰,陈义,李鸿. 基于视频技术的煤矿在线应急预警系统的研究与应用. 煤炭技术. 2022(02): 189-193 .
![]() | |
4. |
姜睿林,陈春晓,崔建良,徐俊琪. 基于FPGA的内窥镜窄带光生成方法研究. 生物医学工程研究. 2022(01): 7-12 .
![]() | |
5. |
张泽宇,张弘,伍凌帆,杨一帆,李旭亮. 基于FPGA的实时Bayer解马赛克算法与实现. 应用光学. 2022(02): 240-247 .
![]() | |
6. |
格日勒,王刚,柳智鑫. 基于视频技术的煤矿在线应急预警系统研究. 能源与环保. 2021(09): 41-45 .
![]() |