Non-local degradation modeling for spatially adaptive single image super-resolution

Author:

Zhang QianyuORCID,Zheng Bolun,Li Zongpeng,Liu Yu,Zhu Zunjie,Slabaugh GregoryORCID,Yuan Shanxin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference77 articles.

1. Agustsson, E., & Timofte, R. (2017). Ntire 2017 challenge on single image super-resolution: Dataset and study. In Proceedings of the IEEE conference on computer vision and pattern recognition workshops (pp. 126–135).

2. Single-image blind deblurring using multi-scale latent structure prior;Bai;IEEE Transactions on Circuits and Systems for Video Technology,2020

3. Blind super-resolution kernel estimation using an internal-gan;Bell-Kligler;Advances in Neural Information Processing Systems,2019

4. Low-complexity single-image super-resolution based on nonnegative neighbor embedding;Bevilacqua,2012

5. Bolun, Z., Xiaokai, P., Hua, Z., Xiaofei, Z., Gregory, S., Chenggang, Y., et al. (2022). DomainPlus: Cross-Transform Domain Learning towards High Dynamic Range Imaging. In Proceedings of the 30th ACM international conference on multimedia (pp. 1–10).

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