Improving Document Binarization Via Adversarial Noise-Texture Augmentation-Reference-Cited by-同舟云学术

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Improving Document Binarization Via Adversarial Noise-Texture Augmentation

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Image Processing (ICIP)
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Author:

Bhunia Ankan Kumar,Bhunia Ayan Kumar,Sain Aneeshan,Roy Partha Pratim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8791230/8799366/08803348.pdf?arnumber=8803348

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Generative Approach for Document Enhancement with Small Unpaired Data;Electronics;2024-09-06

2. A Review of Document Binarization: Main Techniques, New Challenges, and Trends;Electronics;2024-04-07

3. Binarizing Documents by Leveraging both Space and Frequency;Lecture Notes in Computer Science;2024

4. TransDocUNet: A Transformer-based UNet Architecture for Degraded Document Image Binarization;Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing;2023-12-15

5. CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization;PRICAI 2023: Trends in Artificial Intelligence;2023-11-10

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