The lack of resolution of imaging systems has critically adverse impacts on the recognition
and performance of biometric systems, especially in the case of long range biometrics and …

Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …

Super-resolution is generally defined as a process to obtain high-resolution images form
inputs of low-resolution observations, which has attracted quantity of attention from …

This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge highlighting
the proposed solutions and results. New methods for RAW Super-Resolution could be …

Reference-based super-resolution (RefSR) has achieved impressive progress on the
recovery of high-frequency details thanks to an additional reference high-resolution (HR) …

Super-resolution (SR) is a long-standing problem in image processing and computer vision
and has attracted great attention from researchers over the decades. The main concept of …

This paper reviewed the 3rd NTIRE challenge on single-image super-resolution (restoration
of rich details in a low-resolution image) with a focus on proposed solutions and results. The …

In this paper, we address the challenging problem of vehicle license plate image super-
resolution. Different from existing image super-resolution approaches only resorted to one …

We consider the single image super-resolution (SISR) problem, where a high-resolution
(HR) image is generated based on a low-resolution (LR) input. Recently, generative …

We present a novel approach to reference-based super-resolution (RefSR) with the focus on
dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and …