Joint learning of image detail and transmission map for single image dehazing

Caffe: Convolutional Architecture for Fast Feature Embedding

Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., & Darrell, T. (2014) · Proceedings of the 22nd ACM international conference on Multimedia · doi:10.1145/2647868.2654889 · Cited by 11,077 · see citing works

Single image haze removal using dark channel prior

He, K., Sun, J., & Tang, X. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.168 · Cited by 7,601 · see citing works

Indoor segmentation and support inference from rgbd images

Silberman, N., Hoiem, D., Kohli, P., & Fergus, R. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33715-4_54 · Cited by 5,760 · see citing works

Guided Image Filtering

He, K., Sun, J., & Tang, X. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.213 · Cited by 5,503 · see citing works

2013 IEEE International Conference on Computer Vision

(2013) · doi:10.1109/iccv19984.2013 · Cited by 4,232 · see citing works

DehazeNet: An End-to-End System for Single Image Haze Removal

Cai, B., Xu, X., Jia, K., Qing, C., & Tao, D. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2598681 · Cited by 3,367 · see citing works

A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior

Zhu, Q., Mai, J., & Shao, L. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2446191 · Cited by 2,484 · see citing works

AOD-Net: All-in-One Dehazing Network

Li, B., Peng, X., Wang, Z., Xu, J., & Feng, D. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.511 · Cited by 2,467 · see citing works

Visibility in bad weather from a single image

Tan, R. T. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587643 · Cited by 2,313 · see citing works

Single image dehazing

Fattal, R. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360671 · Cited by 2,141 · see citing works

Single Image Dehazing via Multi-scale Convolutional Neural Networks

Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., & Yang, M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46475-6_10 · Cited by 1,878 · see citing works

Non-local Image Dehazing

Berman, D., Treibitz, T., & Avidan, S. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.185 · Cited by 1,685 · see citing works

Fast visibility restoration from a single color or gray level image

Tarel, J., & Hautière, N. (2009) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459251 · Cited by 1,325 · see citing works

Dehazing Using Color-Lines

Fattal, R. (2014) · ACM Transactions on Graphics · doi:10.1145/2651362 · Cited by 1,187 · see citing works

Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

Meng, G., Wang, Y., Duan, J., Xiang, S., & Pan, C. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.82 · Cited by 1,164 · see citing works

Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing

Tang, K., Yang, J., & Wang, J. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.383 · Cited by 619 · see citing works

Bayesian Defogging

Nishino, K., Kratz, L., & Lombardi, S. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0508-1 · Cited by 393 · see citing works

Factorizing Scene Albedo and Depth from a Single Foggy Image

Kratz, L., & Nishino, K. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459382 · Cited by 291 · see citing works

Single Image Dehazing Using Color Ellipsoid Prior

Bui, T. M., & Kim, W. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2771158 · Cited by 250 · see citing works

Automatic recovery of the atmospheric light in hazy images

Sulami, M., Glatzer, I., Fattal, R., et al. (2014) · IEEE International Conference on Computational Photography (ICCP) · doi:10.1109/iccphot.2014.6831817 · Cited by 223 · see citing works

Fast image dehazing using guided joint bilateral filter

Xiao, C., & Gan, J. (2012) · The Visual Computer · doi:10.1007/s00371-012-0679-y · Cited by 220 · see citing works

Edge-Preserving Decomposition-Based Single Image Haze Removal

Li, Z. G., & Zheng, J. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2482903 · Cited by 192 · see citing works

InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes DatasetPreprint

Li, W., Sajad Saeedi, G., McCormac, J., Clark, R., Tzoumanikas, D., Ye, Q., Huang, Y., Tang, R., & Leutenegger, S. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1809.00716 · Cited by 171 · see citing works

A novel region-based active contour model via local patch similarity measure for image segmentation

Yu, H., He, F., & Pan, Y. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5697-y · Cited by 107 · see citing works

A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation

Yu, H., He, F., & Pan, Y. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6735-5 · Cited by 102 · see citing works

Single image dehazing via an improved atmospheric scattering model

Ju, M., Zhang, D., & Wang, X. (2016) · The Visual Computer · doi:10.1007/s00371-016-1305-1 · Cited by 89 · see citing works

An efficient approach to directly compute the exact Hausdorff distance for 3D point sets

Zhang, D., He, F., Han, S., Zou, L., Wu, Y., & Chen, Y. (2017) · Integrated Computer-Aided Engineering · doi:10.3233/ica-170544 · Cited by 70 · see citing works

A local start search algorithm to compute exact Hausdorff Distance for arbitrary point sets

Chen, Y., He, F., Wu, Y., & Hou, N. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2017.02.013 · Cited by 63 · see citing works

A parallel and robust object tracking approach synthesizing adaptive Bayesian learning and improved incremental subspace learning

Li, K., He, F., Yu, H., & Chen, X. (2018) · Frontiers of Computer Science · doi:10.1007/s11704-018-6442-4 · Cited by 62 · see citing works

An analysis of single image defogging methods using a color ellipsoid framework

Gibson, K. B., & Nguyen, T. Q. (2013) · EURASIP Journal on Image and Video Processing · doi:10.1186/1687-5281-2013-37 · Cited by 59 · see citing works

Robust Visual Tracking Based on Convolutional Features with Illumination and Occlusion Handing

Li, K., He, F., & Yu, H. (2018) · Journal of Computer Science and Technology · doi:10.1007/s11390-017-1764-5 · Cited by 59 · see citing works

A matting method based on full feature coverage

Chen, X., He, F., & Yu, H. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-6690-1 · Cited by 55 · see citing works

Single image dehazing using second-generation wavelet transforms and the mean vector L2-norm

Khmag, A., Al-Haddad, S. A. R., Ramli, A. R., et al. (2017) · The Visual Computer · doi:10.1007/s00371-017-1406-5 · Cited by 52 · see citing works

A correlative classifiers approach based on particle filter and sample set for tracking occluded target

Li, K., He, F., Yu, H., & Chen, X. (2017) · Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao · doi:10.1007/s11766-017-3466-8 · Cited by 50 · see citing works

Haze editing with natural transmission

Fan, X., Wang, Y., Gao, R., et al. (2015) · The Visual Computer · doi:10.1007/s00371-015-1083-1 · Cited by 8 · see citing works

Adaptive transmission compensation via human visual system for efficient single image dehazing

Ling, Z., Shutao Li, A., Wang, Y., He, S., & Lu, X. B. (2015) · The Visual Computer · doi:10.1007/s00371-015-1081-3 · Cited by 7 · see citing works

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

Bayoudh, K., Knani, R., Hamdaoui, F., & Mtibaa, A. (2022) · The Visual Computer · doi:10.1007/s00371-021-02166-7 · Cited by 456 · see citing works

DRCDN: learning deep residual convolutional dehazing networks

Zhang, S., & He, F. (2020) · The Visual Computer · doi:10.1007/s00371-019-01774-8 · Cited by 158 · see citing works

Identification of chemical compositions and sources of atmospheric aerosols in Xi'an, inland China during two types of haze events

Li, J., Wang, G., Ren, Y., et al. (2016) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2016.05.057 · Cited by 59 · see citing works

Secondary Formation of Sulfate and Nitrate during a Haze Episode in Megacity Beijing, China

Liu, X., Sun, K., Qu, Y., et al. (2015) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2014.12.0321 · Cited by 91 · see citing works

The Effects of Dust Haze Weather on Human Health

Zhang, X. (2008)

Climatic characteristics of haze weather from 1961 to 2008 in Yinchuan

Jian-ren, S. (2012) · Journal of Meteorology and Environment

Image restoration using prior information physics model

Xing, L., & Yang, L. (2011) · International Congress on Image and Signal Processing (CISP) · doi:10.1109/cisp.2011.6100370 · Cited by 4 · see citing works