Deep architecture for super-resolution and deblurring of text images
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15340-x.pdf
Reference43 articles.
1. Albluwi F, Krylov V A, Dahyot R (2019) Super-resolution on degraded low-resolution images using convolutional neural networks. In: 2019 27th European signal processing conference (EUSIPCO). IEEE, pp 1–5
2. Bansal M, Kumar M, Sachdeva M, Mittal A (2021) Transfer learning for image classification using vgg19: Caltech-101 image data set. J Ambient Intell Humaniz Comput, 1–12
3. Bansal S, Bansal RK, Kumar R (2022) A novel upgraded uniform embedding technique for jpeg steganography. In: Intelligent sustainable systems. Springer, pp 723–730
4. Dalal M, Juneja M (2018) Video steganography techniques in spatial domain—a survey. In: Proceedings of the international conference on computing and communication systems. Springer, pp 705–711
5. Du B, Ren X, Chen S, Ren J, Cao D (2019) Image super-resolution and deblurring using generative adversarial network. In: Proceedings of the 2019 8th international conference on computing and pattern recognition, pp 266–271
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