The Tenth NTIRE 2025 Image Denoising Challenge Report
This is an incremental challenge report that benchmarks progress in image denoising for the computer vision community.
The paper tackled the NTIRE 2025 Image Denoising Challenge by developing network architectures for high-quality denoising under additive white Gaussian noise at level 50, with 20 teams submitting results that provide insights into current state-of-the-art performance, quantitatively evaluated using PSNR.
This paper presents an overview of the NTIRE 2025 Image Denoising Challenge (σ = 50), highlighting the proposed methodologies and corresponding results. The primary objective is to develop a network architecture capable of achieving high-quality denoising performance, quantitatively evaluated using PSNR, without constraints on computational complexity or model size. The task assumes independent additive white Gaussian noise (AWGN) with a fixed noise level of 50. A total of 290 participants registered for the challenge, with 20 teams successfully submitting valid results, providing insights into the current state-of-the-art in image denoising.