Infrared and Laser Engineering, Volume. 53, Issue 8, 20240162(2024)
Image clarification algorithms for atmospheric particulate matter interference: research and prospects (invited)
[1] X ZOU, Y LIU, Z F TAN et al. A fog-removing treatment based on combining high-frequency emphasis filtering and histogram equalization. Key Engineering Materials, 474, 2198-2202(2011).
[5] [5] ZUIDERVELD K. Contrast Limited Adaptive Histogram Equalization[M]. US: Academic Press, 1994: 474485.
[10] [10] KUMAR R, KAUSHIK B K, BALASUBRAMANIAN R. FPGA implementation of image dehazing algithm f real time applications[C]Applications of Digital Image Processing XL, SPIE, 2017, 10396: 639645.
[11] K HE, J SUN, X TANG. Single image haze removal using dark channel prior. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2010).
[13] [13] ROWE M P, PUGH E N, TYO J S, et al. Polarizationdifference imaging: a biologically inspired technique f observation through scattering media[J]. Optics Letters , 1995, 20(6): 608610.
[14] J GUI, X CONG, Y CAO et al. A comprehensive survey and taxonomy on single image dehazing based on deep learning. ACM Computing Surveys, 55, 1-37(2023).
[17] [17] REN W, LIU S, ZHANG H, et al. Single image dehazing via multiscale convolutional neural wks[C]Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The herls, October 1114, 2016, Proceedings, Part II 14, Springer International Publishing, 2016: 154169.
[19] [19] DAR K A, MITTAL S. An enhanced adaptive histogram equalization based local contrast preserving technique f HDR images[C]IOP Conference Series: Materials Science Engineering, IOP Publishing, 2021, 1022(1): 012119.
[20] S HE, Q YANG, R W H LAU et al. Fast weighted histograms for bilateral filtering and nearest neighbor searching. IEEE Transactions on Circuits and Systems for Video Technology, 26, 891-902(2015).
[21] B H CHEN, S C HUANG, J H YE. Hazy image restoration by bi-histogram modification. ACM Transactions on Intelligent Systems and Technology (TIST), 6, 1-17(2015).
[22] [22] YADAV G, MAHESHWARI S, AGARWAL A. Contrast limited adaptive histogram equalization based enhancement f real time video system[C]2014 International Conference on Advances in Computing, Communications Infmatics (ICACCI), IEEE, 2014: 23922397.
[24] [24] SONI B, MATHUR P. An improved image dehazing technique using CLAHE guided filter[C]2020 7th International Conference on Signal Processing Integrated wks(SPIN), 2020: 902907.
[26] M JU, C DING, Y J GUO et al. IDGCP: Image dehazing based on gamma correction prior. IEEE Transactions on Image Processing, 29, 3104-3118(2019).
[27] A B PETRO, C SBERT, J M morel. Multiscale retinex. Image Processing On Line, 71-88(2014).
[28] [28] RAHMAN Z, JOBSON D J, WOODELL G A. Multiscale retinex f col image enhancement[C]Proceedings of 3rd IEEE International Conference on Image Processing. IEEE, 1996, 3: 10031006.
[29] J WANG, K LU, J XUE et al. Single image dehazing based on the physical model and MSRCR algorithm. IEEE Transactions on Circuits and Systems for Video Technology, 28, 2190-2199(2017).
[32] [32] HE J, XING F Z, YANG R, et al. Fast single image dehazing via multilevel wavelet transfm based optimization [EBOL]. (20190418) [20240415]. https:arxiv.gabs1904.08573.
[33] [33] YANG H H, YANG C H H, TSAI Y C J. Y: Multiscale feature aggregation wk with wavelet structure similarity loss function f single image dehazing[C]ICASSP 20202020 IEEE International Conference on Acoustics, Speech Signal Processing (ICASSP), IEEE, 2020: 26282632.
[34] [34] LING P, CHEN H, TAN X, et al. Single image dehazing using saturation line pri[J]. IEEE Transactions on Image Processing , 2023, 32: 32383253.
[35] Z LI, J ZHENG. Single image de-hazing using globally guided image filtering. IEEE Transactions on Image Processing, 27, 442-450(2017).
[36] X FAN, Y WANG, X TANG et al. Two-layer Gaussian process regression with example selection for image dehazing. IEEE Transactions on Circuits and Systems for Video Technology, 27, 2505-2517(2016).
[39] G BI, J REN, T FU et al. Image dehazing based on accurate estimation of transmission in the atmospheric scattering model. IEEE Photonics Journal, 9, 1-18(2017).
[42] M ZHU, B HE, Q WU. Single image dehazing based on dark channel prior and energy minimization. IEEE Signal Processing Letters, 25, 174-178(2017).
[43] P J LIU, S J HORNG, J S LIN et al. Contrast in haze removal: Configurable contrast enhancement model based on dark channel prior. IEEE Transactions on Image Processing, 28, 2212-2227(2018).
[44] S E KIM, T H PARK, I K EOM. Fast single image dehazing using saturation based transmission map estimation. IEEE Transactions on Image Processing, 29, 1985-1998(2019).
[47] W CHEN, B WANG, G NI. Single image dehazing using anisotropic diffusion. Optical Technique, 43, 354-358(2017).
[51] [51] SHWARTZ S, NAMER E, SCHECHNER Y Y. Blind haze separation[C]2006 IEEE Computer Society Conference on Computer Vision Pattern Recognition (CVPR''06), IEEE, 2006, 2: 19841991.
[52] [52] TREIBITZ T, SCHECHNER Y Y. Polarization: Beneficial f visibility enhancement[C]2009 IEEE Conference on Computer Vision Pattern Recognition, 2009: 525532.
[54] [54] MIYAZAKI D, AKIYAMA D, BABA M, et al. Polarizationbased dehazing using two reference objects[C]Proceedings of the IEEE international conference on computer vision wkshops, 2013: 852859.
[58] [58] CAO L, SHAO X, LIU F, et al. Dehazing method through polarimetric imaging multiscale analysis[C]Satellite Data Compression, Communications, Processing XI, SPIE, 2015, 9501: 266273.
[62] [62] ZHAO C, DUAN J, WANG X, et al. Experimental comparison of polarization image restation of three rom angles two thogonal angles [J]. Laser & Optoelectronics Progress , 2015, 52(10): 101005. (in Chinese)
[64] H TIAN, J ZHU, S TAN et al. Rapid underwater target enhancement method based on polarimetric imaging. Optics & Laser Technology, 108, 515-520(2018).
[69] Z LIANG, X DING, Z MI et al. Effective polarization-based image dehazing with regularization constraint. IEEE Geoscience and Remote Sensing Letters, 19, 1-5(2020).
[71] [71] LI B, PENG X, WANG Z, et al. Aod: Allinone dehazing wk[C]Proceedings of the IEEE International Conference on Computer Vision, 2017: 47704778.
[72] X ZHANG, J WANG, T WANG et al. Hierarchical feature fusion with mixed convolution attention for single image dehazing. IEEE Transactions on Circuits and Systems for Video Technology, 32, 510-522(2021).
[74] Z CHEN, Z HE, Z M LU. DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention. IEEE Transactions on Image Processing, 1002-1015(2024).
[77] [77] LIU Y, PAN J, REN J, et al. Learning deep pris f image dehazing[C]Proceedings of the IEEECVF International Conference on Computer Vision, 2019: 24922500.
[78] [78] CONG X, GUI J, MIAO K C, et al. Discrete haze level dehazing wk[C]Proceedings of the 28th ACM International Conference on Multimedia, 2020: 18281836.
[79] [79] FRANTS V, AGAIAN S, PATA K. QCNNH: Singleimage dehazing using quaternion neural wks[J]. IEEE Transactions on Cyberics , 2023, 53(9): 5448 5458.
[80] [80] LIAO M, LU Y, LI X, et al. An unsupervised image dehazing method using patchline fuzzy clusteringline pris[J]. IEEE Transactions on Fuzzy Systems , 2024, 32(6): 54485458.
[82] H ZHANG, V SINDAGI, V M PATEL. Joint transmission map estimation and dehazing using deep networks. IEEE Transactions on Circuits and Systems for Video Technology, 30, 1975-1986(2019).
[83] [83] ENGIN D, GENÇ A, KEMAL EKENEL H. Cycledehaze: Enhanced cyclegan f single image dehazing[C]Proceedings of the IEEE Conference on Computer Vision Pattern Recognition Wkshops, 2018: 825833.
[85] A GOLTS, D FREEDMAN, M ELAD. Unsupervised single image dehazing using dark channel prior loss. IEEE transactions on Image Processing, 29, 2692-2701(2019).
[86] Y WANG, X YAN, F L WANG et al. Ucl-dehaze: Towards real-world image dehazing via unsupervised contrastive learning. IEEE Transactions on Image Processing, 33, 1361-1374(2024).
[88] X SUN, Z YU. Image dehazing algorithm based on residual attention and semi-supervised learning. Electronic Science & Technology, 36, 50-57(2023).
[90] L LI, Y DONG, W REN et al. Semi-supervised image dehazing. IEEE Transactions on Image Processing, 29, 2766-2779(2019).
Get Citation
Copy Citation Text
Xiyuan LUO, Meng XIANG, Yanyan LIU, Ji WANG, Kui YANG, Pingli HAN, Xin WANG, Juncheng LIU, Qianqian LIU, Jinpeng LIU, Fei LIU. Image clarification algorithms for atmospheric particulate matter interference: research and prospects (invited)[J]. Infrared and Laser Engineering, 2024, 53(8): 20240162
Category:
Received: Apr. 15, 2024
Accepted: --
Published Online: Oct. 29, 2024
The Author Email: XIANG Meng (xiangmeng@xidian.edu.cn)