NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution

TL;DR

The NTIRE 2025 challenge focuses on advancing RAW image restoration and super-resolution techniques, addressing less-explored problems in RAW domain with significant participation and state-of-the-art solutions.

Contribution

This paper reviews the challenge, highlights proposed solutions, and establishes a benchmark for RAW image restoration and super-resolution.

Findings

High participant engagement with 230 registrations

45 submissions demonstrating diverse approaches

Advancement in RAW restoration and super-resolution methods

Abstract

This paper reviews the NTIRE 2025 RAW Image Restoration and Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Restoration and Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. The goal of this challenge is two fold, (i) restore RAW images with blur and noise degradations, (ii) upscale RAW Bayer images by 2x, considering unknown noise and blur. In the challenge, a total of 230 participants registered, and 45 submitted results during thee challenge period. This report presents the current state-of-the-art in RAW Restoration.