Fog Detection through Image Processing Methods

[1] A. Gellert and B. Remus, “Context-Based Prediction Filtering of Impulse Noise Images,” IET Image Processing, vol. 10, no. 6, 2016. Search in Google Scholar

[2] A. Gellert and R. Brad, “Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains,” Signal, Image and Video Processing, vol. 12, no. 2, 2018. Search in Google Scholar

[3] A. Gellert, R. Brad, D. Morariu and M. Neghina, “Filtering Random Valued Impulse Noise from Grayscale Images through Support Vector Machine and Markov Chain,” International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, vol. 11, no. 1, 2021. Search in Google Scholar

[4] A. Gellert and R. Brad, “Image Inpainting with Markov Chains,” Signal, Image and Video Processing, vol. 14, no. 7, 2020. Search in Google Scholar

[5] R. Miclea, V. Ungureanu, F. Sandru and I. Silea, “Visibility Enhancement and Fog Detection: Solutions Presented in Recent Scientific Papers with Potential for Application to Mobile Systems,” Sensors, vol. 21, no. 10, 2021. Search in Google Scholar

[6] E. Dumont and V. Cavallo, “Extended Photometric Model of Fog Effects on Road Vision,” Transportation Research Record Journal of the Transportation Research Board, vol. 1862, no. 1, pp. 77-81, 2004. Search in Google Scholar

[7] Z. Lee and S. Shang, “Visibility: How Applicable is the Century-Old Koschmieder Model?,” Journal of the Atmospheric Sciences, vol. 73, no. 11, p. 4573–4581, 2016. Search in Google Scholar

[8] Y. Y. Schechner and S. G. Narasimhan, “Instant dehazing of images using polarization,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001. Search in Google Scholar

[9] G. Pagani, J. W. Noteboom and W. Wauben, “Neural network approach for automatic fog detection using surveillance camera images,” in EGU General Assembly, 2018. Search in Google Scholar

[10] Z. Liu, S. Zhao and X. Wang, “Research on Driving Obstacle Detection Technology in Foggy Weather Based on GCANet and Feature Fusion Training,” Sensors (Basel), vol. 23, no. 5, 2023. Search in Google Scholar

[11] L. Guo, X. Song and H. Huang, “Haze Image Classification Method Based on Alexnet Network Transfer Model,” Journal of Physics: Conference Series, vol. 1176, no. 3, 2019. Search in Google Scholar

[12] R. T. Tan, “Visibility in bad weather from a single image,” in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Anchorage, Alaksa, USA, 2008. Search in Google Scholar

[13] W. Sun, H. Wang, C. Sun, B. Guo, W. Jia and M. Sun, “Fast single image haze removal via local atmospheric light veil estimation,” Computers & Electrical Engineering, vol. 46, pp. 371-383, 2015. Search in Google Scholar

[14] S. Bronte, L. M. Bergasa and P. F. Alcantarilla, “Fog Detection System Based on Computer Vision Techniques,” in Intelligent Transportation Systems, 2009. Search in Google Scholar