DBPNet: A dual-branch pyramid network for document super-resolution-Reference-Cited by-同舟云学术

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DBPNet: A dual-branch pyramid network for document super-resolution

Published:2023-02 Issue: Volume:166 Page:80-88
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Peng Jibing,Yi Yaohua^ORCID,Yu Changhui,Yin Aiguo

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference37 articles.

1. Deep learning for image super- resolution: a survey;Wang;IEEE Trans. Pattern Anal. Mach. Intell.,2020

2. A proposed approach for character recognition using document analysis with ocr;Singh,2018

3. Image Processing Based Degraded Camera Captured Document Enhancement for Improved Ocr Accuracy;Sharma,2016

4. Cascaded detail preserving networks for super-resolution of document images;Fu,2019

5. Single text image super- resolution based on edge-compensated autoregressive model;Liang,2017

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