Super-resolution of license plate images using attention modules and sub-pixel convolution layers

Author:

Nascimento ValfrideORCID,Laroca Rayson,Lambert Jorge de A.,Schwartz William Robson,Menotti David

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Nvidia

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference52 articles.

1. Image super-resolution: The techniques, applications, and future;Yue;Signal Process,2016

2. Blind image super-resolution: A survey and beyond;Liu;IEEE Trans Pattern Anal Mach Intell,2023

3. Deep learning for image super-resolution: A survey;Wang;IEEE Trans Pattern Anal Mach Intell,2021

4. Residual dense network for image restoration;Zhang;IEEE Trans Pattern Anal Mach Intell,2021

5. Face super-resolution using stochastic differential equations;Santos,2022

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1. Super-Resolution Towards License Plate Recognition;Anais do XXXVII Concurso de Teses e Dissertações (CTD 2024);2024-07-21

2. OmniSR-M: A Rock Sheet with a Multi-Branch Structure Image Super-Resolution Lightweight Method;Applied Sciences;2024-03-26

3. Next-Generation License Plate Detection and Recognition System Using YOLOv8;2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET);2023-12-04

4. Leveraging Model Fusion for Improved License Plate Recognition;Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications;2023-11-27

5. Foreword to special section on SIBGRAPI 2022;Computers & Graphics;2023-08

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