Low-light image enhancement with geometrical sparse representation
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04013-1.pdf
Reference45 articles.
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3. Fu Y, Hong Y, Chen L, You S (2022) Le-gan: unsupervised low-light image enhancement network using attention module and identity invariant loss. Knowl-Based Syst 240:108010
4. Gu Z, Li F, Fang F, Zhang G (2019) A novel retinex-based fractional-order variational model for images with severely low light. IEEE Trans Image Process 29:3239–3253
5. Guo X, Li Y, Ling H (2017) Lime: low-light image enhancement via illumination map estimation. IEEE Trans Image Process 26(2):982–993
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