Feature-based Recognition Framework for Super-resolution Images

Autor:	Hu, Jing, Zhang, Meiqi, Zhang, Rui
Rok vydání:	2021
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	In practical application, the performance of recognition network usually decreases when being applied on super-resolution images. In this paper, we propose a feature-based recognition network combined with GAN (FGAN). Our network improves the recognition accuracy by extracting more features that benefit recognition from SR images. In the experiment, we build three datasets using three different super-resolution algorithm, and our network increases the recognition accuracy by more than 6% comparing with ReaNet50 and DenseNet121. Comment: 7 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2112.02270 Zobrazit plný text záznamu View this record from Arxiv