Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …

This paper proposes a super-resolution algorithm for reconstructing license plate images
based on generative adversarial networks (GAN) for improving the recognition rate of low …

Abstract License Plate Recognition (LPR) is an important implemented application of
Artificial Intelligence (AI) and deep learning in the past decades. However, due to the low …

Recent years have seen significant developments in the field of License Plate Recognition
(LPR) through the integration of deep learning techniques and the increasing availability of …

The License Plate Recognition (LPR) field has made impressive advances in the last
decade due to novel deep learning approaches combined with the increased availability of …

License plate recognition is a pivotal challenge in surveillance applications, predominantly
due to the low resolution and diminutive size of license plates, which impairs recognition …

Image super-resolution reconstruction is the process of using low-resolution images to
reconstruct the corresponding high-resolution images. At present, image super-resolution …

Object This study aims to evaluate the value of super resolution (SR) technology in
augmenting the quality of digestive endoscopic images. Methods In the retrospective study …

Super-resolution (SR) techniques play a pivotal role in enhancing the quality of low-
resolution images, particularly for applications such as security and surveillance, where …

Despite significant advancements in License Plate Recognition (LPR) through deep
learning, most improvements rely on high-resolution images with clear characters. This …