Old scratched photos restoration with enhancement and colorization-Reference-Cited by-同舟云学术

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Old scratched photos restoration with enhancement and colorization

Published:2024-06-24 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wang Sheng,Ding Xin^ORCID,Zhang Wei

Funder

the National Natural Science Foundation of China

the Major Project of Fundamental Research on Frontier Leading Technology of Jiangsu Province

the Key Research and Development Program of Hubei Province

the Fundamental Research Program of HUST

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19595-w.pdf

Reference59 articles.

1. Wan Z, Zhang B, Chen D, Zhang P, Chen D, Liao J, Wen F (2020) Bringing old photos back to life. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 2747–2757

2. Kuo T-Y, Wei Y-J, Lee M-J, Lin T-H (2019) Automatic damage recovery of old photos based on convolutional neural network. In: 2019 International symposium on intelligent signal processing and communication systems (ISPACS), pp 1–2. IEEE

3. Huang S, Zhang X, Zhang Y, Li X (2022) Mfa: A novel attention module for old image restoration. In: 2022 10th International conference on information systems and computing technology (ISCTech), pp 21–26. IEEE

4. Croitoru F-A, Hondru V, Ionescu RT, Shah M (2023) Diffusion models in vision: A survey. IEEE Trans Pattern Anal Mach Intell

5. Ho J, Jain A, Abbeel P (2020) Denoising diffusion probabilistic models. Adv Neural Inf Process Syst 33:6840–6851

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