Practical Noise Simulation for RGB Images
This provides a practical tool for simulating realistic noise in smartphone images, which is incremental as it builds on existing datasets and methods.
The authors tackled the problem of realistic noise simulation for smartphone camera images by developing a noise generator based on Poissonian-Gaussian noise parameters estimated from the Smartphone Image Denoising Dataset (SIDD), and it is being used in JPEG AI denoising experiments.
This document describes a noise generator that simulates realistic noise found in smartphone cameras. The generator simulates Poissonian-Gaussian noise whose parameters have been estimated on the Smartphone Image Denoising Dataset (SIDD). The generator is available online, and is currently being used in compressed-domain denoising exploration experiments in JPEG AI.