References
- Harish Babu, G., N. Venkatra. A Survey on Analysis and Implementation of State-of-the-Art Haze Removal Techniques. – J. Vis. Commun. Image Represent, Vol. 72, 2020. DOI: 10.1016/J.JVCIR.2020.102912.
- Van Nguyen, T., A. G. Vien, C. Lee. Real-Time Image and Video Dehazing Based on Multiscale Guided Filtering. – Multimed. Tools Appl., Vol. 81, 2022, No 25, pp. 36567-36584. DOI: 10.1007/s11042-022-13533-4.
- Liu, Y., P. Jia, H. Zhou, A. Wang. Joint Dehazing and Denoising for Single Nighttime Image via Multi-Scale Decomposition. – Multimed. Tools Appl., Vol. 81, 2022, No 17, pp. 23941-23962. DOI: 10.1007/s11042-022-12681-x.
- Mirani, I. K., C. Tianhua, M. Abid, A. Khan, S. M. Aamir, W. Menhaj. Object Recognition in Different Lighting Conditions at Various Angles by Deep Learning Method. – J. Xi’an Univ. of Arch. Tech., Vol. XIV, 2022, No 1, pp. 158-168. DOI: 10.48550/arXiv.2210.09618.
- Pal, N. S., S. Lal, K. Shinghal. A Robust Framework for Visibility Enhancement of Foggy Images. – Int. J. Eng. Sci. and Tech., Vol. 22, 2019, No 1, pp. 22-32. DOI: 10.1016/j.jestch.2018.11.006.
- Kumar, A., U. Mital, A. Gajera, S. Varanasi, A. Kumar. Empirical Study of the Impact of Image Quality, Object Size, and Occlusion on Object Detection. – EasyChair Preprint, 2023, No 9786. https://easychair.org/publications/preprint_open/Wf1V
- Borel-Donohue, C. C., S. S. Young. Image Quality and Super Resolution Effects on Object Recognition Using Deep Neural Networks. – Proc. SPIE 11006, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications, 110061M, 2019. DOI: 10.1117/12.2518524.
- Min, X., G. Zhai, K. Gu, X. Yang, X. Guan. Objective Quality Evaluation of Dehazed Images. – IEEE Transactions on Intelligent Transportation Systems, Vol. 20, 2019, No 8, pp. 2879-2892. DOI: 10.1109/TITS.2018.2868771.
- Ogunrinde, I., S. Bernadin. A Review of the Impacts of Defogging on Deep Learning-Based Object Detectors in Self-Driving Cars. – In: Proc. of Conf. IEEE SoutheastCon, Institute of Electrical and Electronics Engineers, Inc., 2021. DOI: 10.1109/SoutheastCon45413.2021.9401941.
- Li, S., Q. Yuan, Y. Zhang, B. Lv, F. Wei. Image Dehazing Algorithm Based on Deep Learning Coupled Local and Global Features. – Appl. Sci. (Switzerland), Vol. 12, 2022, No 17. DOI: 10.3390/app12178552.
- Li, R., L. F. Cheong, R. T. Tan. Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. – In: Proc. of IEEE Comp. Soc. Conf. on Comp. Vision and Pattern Recogn., 2019, pp. 1633-1642. DOI: 10.1109/CVPR.2019.00173.
- Kawarabuki, H., K. Onoguchi. Snowfall Detection in a Foggy Scene. – In: Proc. of Int. Conf. on Pattern Recogn., Institute of Electrical and Electronics Engineers, Inc., 2014, pp. 877-882. DOI: 10.1109/ICPR.2014.161.
- Miclea, I. C., R. Ungureanu, V. I. Sandru, F. D. Silea. Visibility Enhancement and Fog Detection: Solutions Presented in Recent Scientific Papers with Potential for Application to Mobile Systems. – Sensors, Vol. 21, No 10, pp. 1-39. DOI: 10.3390/s21103370 Academic.
- Ehsan, S. M., M. Imran, A. Ullah, E. Elbasi. A Single Image Dehazing Technique Using the Dual Transmission Maps Strategy and Gradient-Domain Guided Image Filtering. – IEEE Access, Vol. 9, 2021, pp. 89055-89063. DOI: 10.1109/ACCESS.2021.3090078.
- Ali, A. M., B. Benjdira, A. Koubaa, W. El-Shafai, Z. Khan, W. Boulila. Vision Transformers in Image Restoration: A Survey. – Sensors, Vol. 23, 2023, No 5. DOI: 10.3390/s23052385.
- Raikwar, S. C., S. Tapaswi. Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing. – IEEE Trans. on Image Proc., Vol. 29, 2020, pp. 4832-4847. DOI: 10.1109/TIP.2020.2975909.
- Guo, J. M., J. Y. Syue, V. R. Radzicki, H. Lee. An Efficient Fusion-Based Defogging. – IEEE Trans. on Image Proc., Vol. 26, 2017, No 9, pp. 4217-4228. DOI: 10.1109/TIP.2017.2706526.
- Narasimhan, S. G., S. K. Nayar. Contrast Restoration of Weather Degraded Images. – IEEE Trans. on. Pattern Analysed and Mach. Intell., Vol. 25, 2003, No 6, pp. 713-724. DOI:10.1109/TPAMI.2003.1201821.
- Wang, W., X. Yuan. Recent Advances in Image Dehazing. – IEEE/CAA J. of Automatica Sinica, Vol. 4, 2017, No 3, pp. 410-436. DOI: 10.1109/JAS.2017.7510532.
- Liu, F., L. Cao, X. Shao, P. Han, X. Bin. Polarimetric Dehazing Utilizing Spatial Frequency Segregation of Images. – Appl. Opt., Vol. 54, 2015, No 27, 8116. DOI: 10.1364/ao.54.008116.
- Shwartz, S., E. Namer, Y. Y. Schechner. Blind Haze Separation. – In: Proc. of 2006 IEEE Computer Soc. Conf. on Comp. Vision and Pattern Recogn (CVPR’06), 2006., pp. 1984-1991. DOI: 10.1109/CVPR.2006.71.
- Lee, S., S. Yun, J. H. Nam, C. S. Won, S. W. Jung. A Review on Dark Channel Prior Based Image Dehazing Algorithms. – EURASIP J. Image and Video Process., Springer International Publishing, 2016, pp. 1-23. DOI: 10.1186/s13640-016-0104-y.
- Wang, W., X. Yuan, X. Wu, Y. Dong. An Airlight Estimation Method for Image Dehazing Based on Gray Projection. – Multimed. Tools Appl., Vol. 79, 2020, No 37-38, pp. 27185-27203. DOI: 10.1007/s11042-020-09380-w.
- Fattal, R. Single Image Dehazing – ACM Trans. Graph, Vol. 27, 2008, No 3, pp. 1-9. DOI: 10.1145/1360612.1360671.
- Kratz, L., K. Nishino. Factorizing Scene Albedo and Depth from a Single Foggy Image. – In: Proc. of 12th IEEE Int. Conf. on Comp. Vis., 2009. DOI: 10.1109/ICCV.2009.5459382.
- Tan, R. T. Visibility in Bad Weather from a Single Image. – In: Proc. of IEEE Conf. Comp. Vis. and Pattern Recog., 2008, pp. 1-8. DOI: 10.1109/CVPR.2008.4587643.
- Nishino, K., L. Kratz, S. Lombardi. Bayesian Defogging. – Int. J. Comp. Vis., Vol. 98, 2012, pp. 263-278. DOI: 10.1007/s11263-011-0508-1.
- Pandey, P., R. Gupta, N. Goel. A Fast and Effective Vision Enhancement Method for Single Foggy Image. – Int. J. Eng. Sci. Tech., Vol. 24, 2021, Issue 6, pp. 1478-1489. DOI: 10.1016/j.jestch.2021.03.014.
- Kaur, M., D. Singh, V. Kumar, K. Sun. Color Image Dehazing Using Gradient Channel Prior and Guided L0 Filter. – Inf. Sci., Vol. 521, 2020, pp. 326-342. DOI: 10.1016/j.ins.2020.02.048.
- Trivedi, V. K., P. K. Shukla, H. Gupta. Dark Channel Prior and Global Contrast Stretching Based Hybrid Defogging Image Technique. – In: Proc. of 2018 Int. Conf. on Adv. Comp. and Telec., 2018. DOI: 10.1109/ICACAT.2018.8933729.
- Li, Z, J. Zheng. Single Image De-Hazing Using Globally Guided Image Filtering. – IEEE Trans. Image Proc., Vol. 27, 2018, No 1, pp. 442-450. DOI: 10.1109/TIP.2017.2750418.
- Kokul, T., S. Anparasy. Single Image Defogging Using Depth Estimation and Scene-Specific Dark Channel Prior. – In: Proc. of 20th Int. Conf. on Adv. in ICT for Emerging Reg., Institute of Electrical and Electronics Engineers Inc., 2020, pp. 190-195. DOI: 10.1109/ICTer51097.2020.9325450.
- He, K., J. Sun, X. Tang. Single Image Haze Removal Using Dark Channel Prior. – IEEE Trans Pattern Anal. Mach. Intell., Vol. 33, 2011, No 12, pp. 2341-2353. DOI: 10.1109/TPAMI.2010.168.
- Iwamoto, Y., N. Hashimoto, Y. W. Chen. Real-Time Haze Removal Using Normalised Pixel-Wise Dark-Channel Prior and Robust Atmospheric-Light Estimation. – Appl. Sci., Vol. 10, 2020, No 1165, pp. 1-13. DOI: 10.3390/app10031165.
- Musunuri, Y. R., O. S. Kwon. Haze Removal Based on Refined Transmission Map for Aerial Image Matching. – Appl. Sci., Vol. 11, 2021, No 15. DOI: 10.3390/app11156917.
- Ancuti, C. O., C. Ancuti, R. Timofte, C. D. Vleeschouwer. O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images. – In: Proc. of IEEE Comp. Soc. Conf. on Comp. Vis. and Pattern Recog. Workshops, 2018, pp. 867-875, 2018. DOI: 10.1109/CVPRW.2018.00119.
- Peng, Y. T., Z. Lu, F. C. Cheng, Y. Zheng, S. C. Huang. Image Haze Removal Using Airlight White Correction, Local Light Filter, and Aerial Perspective Prior. – IEEE Trans. Circuits and Sys. Video Tech., Vol. 30, 2020, No 5, pp. 1385-1395. DOI: 10.1109/TCSVT.2019.2902795.
- Ngo, D., G. D. Lee, B. Kang. Improved Color Attenuation Prior for Single-Image Haze Removal – Appl. Sci., Vol. 9, 2019, No 19, pp. 1-22. DOI: 10.3390/app9194011.
- Ehsan, S. M., M. Imran, A. Ullah, E. Elbasi. A Single Image Dehazing Technique Using the Dual Transmission Maps Strategy and Gradient-Domain Guided Image Filtering. – IEEE Access, Vol. 9, 2021, pp. 89055-89063. DOI: 10.1109/ACCESS.2021.3090078.
- Zhu, Q., J. Mai, L. Shao. A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior. – IEEE Trans. Image Process., Vol. 24, 2015, No 11, pp. 3522-3533. DOI: 10.1109/TIP.2015.2446191.
- Colores, S. S., E. C. Yepez, J. M. R. Arreguin, G. Botella, L. M. L. Carrillo, S. Ledesma. A Fast Image Dehazing Algorithm Using Morphological Reconstruction. – IEEE Trans. Image Process., Vol. 28, 2019, No 5, pp. 2357-2366. DOI:10.1109/TIP.2018.2885490.
- Dhara, S. K., M. Roy, D. Sen, P. K. Biswas. Color Cast Dependent Image Dehazing via Adaptive Airlight Refinement and Nonlinear Color Balancing. – IEEE Trans. Circ. Syst. Video Tech., Vol. 31, 2021, No 5, pp. 2076-2081. DOI: 10.1109/TCSVT.2020.3007850.
- Nurhayati, O. D., B. Surarso, W. A. Syafei, D. M. K. Nugraheni. Gaussian Filter-Based Dark Channel Prior for Image Enhancement. – Int. J. Elect. Comp. Eng., Vol. 14, 2024, No 5, pp. 5765-5778. DOI: 10.11591/ijece.v14i5.pp5765-5778.
- Marjuni, A., A. Z. Fanani, O. D. Nurhayati. Visual Quality Improvement of Watermarked Image Based on Singular Value Decomposition Using Walsh Hadamard Transform. – Cybernetics and Information Technologies, Vol. 23, 2023, No 1, pp. 110-124.
