Blur2Sharp: A GAN-Based Model for Document Image Deblurring

The advances in mobile technology and portable cameras have facilitated enormously the acquisition of text images. However, the blur caused by camera shake or out-of-focus problems may affect the quality of acquired images and their use as input for optical character recognition (OCR) or other types...

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Bibliografiska uppgifter

Huvudupphov:	Hala Neji, Mohamed Ben Halima, Tarek M. Hamdani, Javier Nogueras-Iso, Adel M. Alimi
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Springer 2021-04-01
Serie:	International Journal of Computational Intelligence Systems
Ämnen:	Generative adversarial network (GAN) Cycle-consistent generative adversarial network (CycleGAN) Document deblurring Blind deconvolution Motion blur Out-of-focus blur
Länkar:	https://www.atlantis-press.com/article/125955415/view
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