Image Enhancement and Exposure Correction Using Convolutional Neural Network-Reference-Cited by-同舟云学术

Image Enhancement and Exposure Correction Using Convolutional Neural Network

Published:2023-02-10 Issue:2 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Parab Mithun,Bhanushali Amisha,Ingle Palash,Pavan Kumar B. N.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01608-w.pdf

Reference36 articles.

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2. Afifi M, Derpanis KG, Ommer B, Brown MS. Learning multi-scale photo exposure correction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021.

3. Bychkovsky V et al. Learning photographic global tonal adjustment with a database of input/output image Pairs. In: The Twenty-Fourth IEEE Conference on Computer Vision and Pattern Recognition, 2011.

4. Celik T, Tjahjadi T. Contextual and variational contrast enhancement. IEEE Trans Image Process. 2011;20(12):3431–41. https://doi.org/10.1109/TIP.2011.2157513.

5. Chen C, Chen Q, Xu J, Koltun V. Learning to see in the dark. arXiv. 2018. https://doi.org/10.48550/ARXIV.1805.01934.

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