Recaptured Raw Video Denoising Dataset (ReCRVD Dataset)

We propose capturing noisy‑clean image pairs by sequentially displaying existing high‑resolution video frames on a 4K screen and re‑capturing the screen content. The dataset comprises 120 scenes, split into a training set (90 scenes) and a test set (30 scenes), covering five ISO levels ranging from 1,600 to 25,600.

Updated 6/16/2024

github

Description

Dataset Overview

Dataset Name

Recaptured Raw Video Denoising Dataset (ReCRVD Dataset)

Content

Contains noisy‑clean video pairs for 120 scenes.
Data were obtained by sequentially displaying existing high‑resolution video frames on a 4K screen and re‑capturing the screen content.

Splits

Training set: 90 scenes
Test set: 30 scenes

Download

Google Drive: link
MEGA: link
Baidu Netdisk: link (extraction code: ogyw)

Usage

Visualization can be performed using the code in the "isp_matlab" folder or via the ISP module in RViDeNet.

AI studio

Generate PPTs instantly with Nano Banana Pro.

Generate PPT Now

Access Dataset

Please login to view download links and access full dataset details.

Topics

Video Denoising

High‑Resolution Video

Source

Organization: github

Created: 5/28/2024

Power Your Data Analysis with Premium AI Models

Supporting GPT-5, Claude-4, DeepSeek v3, Gemini and more.

Enjoy a free trial and save 20%+ compared to official pricing.

Check Prices →