Fast segmentation of the JPEG compressed documents

Author:

de Queiroz Ricardo L.

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 10 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. DCT-CompSegNet: fast layout segmentation in DCT compressed JPEG document images using deep feature learning;Multimedia Tools and Applications;2024-01-22

2. T2CI-GAN: Text to Compressed Image Generation Using Generative Adversarial Network;Communications in Computer and Information Science;2023

3. FastSS: Fast and smooth segmentation of JPEG compressed printed text documents using DC and AC signal analysis;Multimedia Tools and Applications;2022-01-18

4. Deep Learning Based Image Segmentation Directly in the JPEG Compressed Domain;2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2021-11-11

5. A review on document image analysis techniques directly in the compressed domain;Artificial Intelligence Review;2017-03-21

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