Smartphone Image Denoising Dataset (SIDD)

by No License

Smartphone Image Denoising Dataset (SIDD)

Using this procedure, we have captured a dataset, the Smartphone Image Denoising Dataset (SIDD), of ~30,000 noisy images from 10 scenes under different lighting conditions using five representative smartphone cameras and generated their ground truth images. We used this dataset to benchmark a number of denoising algorithms. We show that CNN-based methods perform better when trained on our high-quality dataset than when trained using alternative strategies, such as low-ISO images used as a proxy for ground truth data.

Dataset Attributes

Label SVG
CategoriesDenoising, Noise, Real, Photograph, Image, Synthetic, Quality, Benchmark, Groundtruth