Variational optimization based single image dehazing

Lin, 2020, Fruit detection in natural environment using partial shape matching and probabilistic hough transform, Precis. Agric., 21, 160, 10.1007/s11119-019-09662-w Tang, 2020, Recognition and localization methods for vision-based fruit picking robots: A review, Front. Plant Sci., 11, 510, 10.3389/fpls.2020.00510 Tang, 2019, Real-time detection of surface deformation and strain in recycled aggregate concrete-filled steel tubular columns via four-ocular vision, Robot. Comput.-Integr. Manuf., 59, 36, 10.1016/j.rcim.2019.03.001 Tang, 2020, Vision-based three-dimensional reconstruction and monitoring of large-scale steel tubular structures, Adv. Civ. Eng., 2020 Yan, 2020, 3D room layout estimation from a single RGB image, IEEE Trans. Multimed., 22, 3014, 10.1109/TMM.2020.2967645 Chen, 2020, Three-dimensional perception of orchard banana central stock enhanced by adaptive multi-vision technology, Comput. Electron. Agric., 174, 10.1016/j.compag.2020.105508 Dhiman, 2019, A review of state-of-the-art techniques for abnormal human activity recognition, Eng. Appl. Artif. Intell., 77, 21, 10.1016/j.engappai.2018.08.014 Yan, 2021, Deep multi-view enhancement hashing for image retrieval, IEEE Trans. Pattern Anal. Mach. Intell., 43, 1445, 10.1109/TPAMI.2020.2975798 Yan, 2020, Depth image denoising using nuclear norm and learning graph model, ACM Trans. Multimedia Comput. Commun. Appl., 16, 10.1145/3404374 Aridoss, 2020, DUICM Deep underwater image classification mobdel using convolutional neural networks, Int. J. Grid High Perform. Comput., 12, 88, 10.4018/IJGHPC.2020070106 Yan, 2021, Task-adaptive attention for image captioning, IEEE Trans. Circuits Syst. Video Technol. Singh, 2017, Comprehensive survey on haze removal techniques, Multimedia Tools Appl., 9595 Harish Babu, 2020, A survey on analysis and implementation of state-of-the-art haze removal techniques, J. Vis. Commun. Image Represent., 72, 10.1016/j.jvcir.2020.102912 Parihar, 2020, A comparative study of image dehazing algorithms, 766 Parihar, 2020, A study on dark channel prior based image enhancement techniques, 1 Nayar, 1999, Vision in bad weather, 820 Narasimhan, 2000, Chromatic framework for vision in bad weather, Comput. Vis. Pattern Recognit., 1, 598 Schechner, 2001, Instant dehazing of images using polarization, Comput. Vis. Pattern Recognit., 1, I Shwartz, 2006, Blind haze separation, 1984 Tan, 2008, Visibility in bad weather from a single image, 1 Fattal, 2008, Single image dehazing, ACM Trans. Graph., 27, 1, 10.1145/1360612.1360671 Fattal, 2015, Dehazing using color-lines, ACM Trans. Graph., 34, 10.1145/2651362 M. Sulami, I. Geltzer, R. Fattal, M. Werman, Automatic recovery of the atmospheric light in hazy images, in: IEEE International Conference on Computational Photography (ICCP), 2014, pp. 1–11. He, 2011, Single image haze removal using dark channel prior, IEEE Trans. Pattern Anal. Mach. Intell., 33, 2341, 10.1109/TPAMI.2010.168 Gibson, 2011, On the effectiveness of the dark channel prior for single image dehazing by approximating with minimum volume ellipsoids, 1253 Zhu, 2015, A fast single image haze removal algorithm using color attenuation prior, IEEE Trans. Image Process., 24, 3522, 10.1109/TIP.2015.2446191 Singh, 2019, Single image dehazing using gradient channel prior, Appl. Intell., 49, 4276, 10.1007/s10489-019-01504-6 Kaur, 2020, Color image dehazing using gradient channel prior and guided L0 filter, Inform. Sci., 521, 326, 10.1016/j.ins.2020.02.048 Nair, 2018, Color image dehazing using surround filter and dark channel prior, J. Vis. Commun. Image Represent., 50, 9, 10.1016/j.jvcir.2017.11.005 Ancuti, 2010, Effective single image dehazing by fusion, 3541 Ancuti, 2013, Single image dehazing by multi-scale fusion, IEEE Trans. Image Process., 22, 3271, 10.1109/TIP.2013.2262284 Zhu, 2021, A novel fast single image dehazing algorithm based on artificial multiexposure image fusion, IEEE Trans. Instrum. Meas., 70, 1 Galdran, 2017, Fusion-based variational image dehazing, IEEE Signal Process. Lett., 24, 151 Cai, 2016, Dehazenet: An end-to-end system for single image haze removal, IEEE Trans. Image Process., 25, 5187, 10.1109/TIP.2016.2598681 Li, 2017, AOD-net: All-in-one dehazing network, 4780 Qin, 2020, FFA-net: Feature fusion attention network for single image dehazing, Proc. AAAI Conf. Artif. Intell., 34, 11908 X. Liu, Y. Ma, Z. Shi, J. Chen, Griddehazenet: Attention-based multi-scale network for image dehazing, in: Proceedings of the IEEE International Conference on Computer Vision, 2019, pp. 7314–7323. Chen, 2018, Gated context aggregation network for image dehazing and deraining, CoRR, abs/1811.08747 Malav, 2019, DHSGAN: An end to end dehazing network for fog and smoke, 593 Jain, 2020, Attention-net: An ensemble sketch recognition approach using vector images, IEEE Trans. Cogn. Dev. Syst., 1 Ghosh, 2020, Fast scale-adaptive bilateral texture smoothing, IEEE Trans. Circuits Syst. Video Technol., 30, 2015 Lin, 2011, Linearized alternating direction method with adaptive penalty for low-rank representation, 612 Li, 2019, Benchmarking single-image dehazing and beyond, IEEE Trans. Image Process., 28, 492, 10.1109/TIP.2018.2867951 Ancuti, 2018, O-HAZE: A dehazing benchmark with real hazy and haze-free outdoor images, 867 Zhang, 2017, Hazerd: An outdoor scene dataset and benchmark for single image dehazing, 3205 Koschmieder, 1938, 521 McCartney, 1976, 421 Land, 1971, Lightness and retinex theory, J. Opt. Soc. Am., 61, 1, 10.1364/JOSA.61.000001 Parihar, 2018, A study on retinex based method for image enhancement, 619 Parihar, 2021, Fusion-based simultaneous estimation of reflectance and illumination for low-light image enhancement, IET Image Process., 15, 1410, 10.1049/ipr2.12114 K. Singh, A.S. Parihar, A comparative analysis of illumination estimation based Image Enhancement techniques, in: 2020 International Conference on Emerging Trends in Information Technology and Engineering (Ic-ETITE), 2020, pp. 1–5. A. Galdran, A. Alvarez-Gila, A. Bria, J. Vazquez-Corral, M. Bertalmío, On the duality between retinex and image dehazing, in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, pp. 8212–8221. Wang, 2004, Image quality assessment: from error visibility to structural similarity, IEEE Trans. Image Process., 13, 600, 10.1109/TIP.2003.819861 Sheikh, 2006, Image information and visual quality, IEEE Trans. Image Process., 15, 430, 10.1109/TIP.2005.859378