LRID Dataset 📖 Overview This is the full version of the Low light Raw Image Denoising (LRID) dataset, designed for low light image denoising research. It is part of the PMN TPAMI project (Learnability Enhancement for Low light Raw Denoising: A Data Perspective, TPAMI 2024). GitHub: https://github.com/megvii research/PMN/tree/TPAMI 🗂️ Dataset Structure 🎯 Key Features Full version : ✅ Original images used for dataset creation are included. ✅ Intermediate results are included. ✅ All noisy frames used for training are included. ✅ Dark frames ( bias , bias hot ) are included for calibration. ✅ Reference data ( ref/ ) provides ISO 100 long exposure RAW and its camera processed JPEG for each scene. 📊 Scene Categories Subset Description Gain Lighting Condition indoor x5 Indoor scenes 5× Low light outdoor x3 Outdoor scenes 3× Low light indoor x3 Indoor scenes with ND filter 3× Controlled lighting outdoor x5 (abandon) Outdoor scenes 5× Low light (a little misalignment) 🔍 Contents Description Noisy frames (e.g., indoor x5/6400/1/000/ ): contain the first frame of each burst in RAW format. Ground truth ( npy/GT align ours ): multi frame fusion results stored as NumPy binaries (aligned and…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy