Degradation-adaptive neural network for jointly single image dehazing and desnowing

Erkang CHEN , Sixiang CHEN , Tian YE , Yun LIU

Front. Comput. Sci. ›› 2024, Vol. 18 ›› Issue (2) : 182707

PDF (1829KB)
Front. Comput. Sci. ›› 2024, Vol. 18 ›› Issue (2) : 182707 DOI: 10.1007/s11704-023-2764-y
Image and Graphics
LETTER

Degradation-adaptive neural network for jointly single image dehazing and desnowing

Author information +
History +
PDF (1829KB)

Graphical abstract

Cite this article

Download citation ▾
Erkang CHEN, Sixiang CHEN, Tian YE, Yun LIU. Degradation-adaptive neural network for jointly single image dehazing and desnowing. Front. Comput. Sci., 2024, 18(2): 182707 DOI:10.1007/s11704-023-2764-y

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Qin X, Wang Z, Bai Y, Xie X, Jia H. FFA-Net: feature fusion attention network for single image dehazing. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence. 2020, 11908–11915

[2]

Chen Z, Wang Y, Yang Y, Liu D. PSD: principled synthetic-to-real dehazing guided by physical priors. In: Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021, 7180–7189

[3]

Liu Y, Zhu L, Pei S, Fu H, Qin J, Zhang Q, Wan L, Feng W. From synthetic to real: image dehazing collaborating with unlabeled real data. In: Proceedings of the 29th ACM International Conference on Multimedia. 2021, 50–58

[4]

Liu Y, Yan Z, Tan J, Li Y . Multi-purpose oriented single nighttime image haze removal based on unified variational retinex model. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33( 4): 1643–1657

[5]

Liu Y F, Jaw D W, Huang S C, Hwang J N . DesnowNet: context-aware deep network for snow removal. IEEE Transactions on Image Processing, 2018, 27( 6): 3064–3073

[6]

Chen W T, Fang H Y, Ding J J, Tsai C C, Kuo S Y. JSTASR: joint size and transparency-aware snow removal algorithm based on modified partial convolution and veiling effect removal. In: Proceedings of the 16th European Conference on Computer Vision. 2020, 754–770

[7]

Chen W T, Fang H Y, Hsieh C L, Tsai C C, Chen I H, Ding J J, Kuo S Y. ALL snow removed: single image desnowing algorithm using hierarchical dual-tree complex wavelet representation and contradict channel loss. In: Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. 2021, 4196–4205

[8]

Li R, Tan R T, Cheong L F. All in one bad weather removal using architectural search. In: Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020, 3175–3185

[9]

Pavlitskaya S, Hubschneider C, Weber M, Moritz R, Hüger F, Schlicht P, Zöllner J M. Using mixture of expert models to gain insights into semantic segmentation. In: Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. 2020, 342–343

[10]

Li B, Ren W, Fu D, Tao D, Feng D, Zeng W, Wang Z . Benchmarking single-image dehazing and beyond. IEEE Transactions on Image Processing, 2019, 28( 1): 492–505

RIGHTS & PERMISSIONS

Higher Education Press

AI Summary AI Mindmap
PDF (1829KB)

Supplementary files

FCS-22764-OF-EC_suppl_1

FCS-22764-OF-EC_suppl_2

937

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/