The ninth NTIRE 2024 efficient super-resolution challenge report
This paper provides a comprehensive review of the NTIRE 2024 challenge focusing on
efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this …
efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this …
NTIRE 2024 image shadow removal challenge report
This work reviews the results of the NTIRE 2024 Challenge on Shadow Removal. Building
on the last year edition the current challenge was organized in two tracks with a track …
on the last year edition the current challenge was organized in two tracks with a track …
NTIRE 2024 dense and non-homogeneous dehazing challenge report
This study examines the results of the NTIRE 2024 Challenge on Dense and Non-
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
NTIRE 2024 challenge on low light image enhancement: Methods and results
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting
the proposed solutions and results. The aim of this challenge is to discover an effective …
the proposed solutions and results. The aim of this challenge is to discover an effective …
HNN: Hierarchical Noise-Deinterlace Net Towards Image Denoising
A Joshi, N Akalwadi, C Mandi… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we propose a hierarchical framework for image denoising and term it
Hierarchical Noise-Deinterlace Net (HNN). Image denoising techniques aim to recover …
Hierarchical Noise-Deinterlace Net (HNN). Image denoising techniques aim to recover …
Bayesian nights: Optimizing night photography rendering with Bayesian derivative-free methods
S Zini, M Buzzelli - Pattern Recognition, 2024 - Elsevier
We introduce a novel approach for optimizing Image Signal Processing (ISP) rendering
pipelines for night photography through a Bayesian derivative-free procedure. Traditional …
pipelines for night photography through a Bayesian derivative-free procedure. Traditional …
RSUIGM: Realistic Synthetic Underwater Image Generation with Image Formation Model
In this paper, we propose to synthesize realistic underwater images with a novel image
formation model, considering both downwelling depth and line of sight (LOS) distance as …
formation model, considering both downwelling depth and line of sight (LOS) distance as …
FRR-NET: a fast reparameterized residual network for low-light image enhancement
Y Chen, G Zhu, X Wang, H Yang - Signal, Image and Video Processing, 2024 - Springer
Low-light image enhancement algorithm is an important branch in the field of image
enhancement algorithms. To solve the problem of severe feature degradation in enhanced …
enhancement algorithms. To solve the problem of severe feature degradation in enhanced …