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Image Deblurring Dataset
The dataset used in the paper is for image deblurring, and it is compared with different methods such as PnP-ADMM and PnP-FISTA. -
BSD100 dataset
The BSD100 dataset consists of 100 images with 4x scaling. -
Multi-Outputs Is All You Need For Deblur
Image deblurring task is an ill-posed one, where exists infinite feasible solutions for blurry image. Modern deep learning approaches usually discard the learning of blur kernels... -
RDM Dataset
The dataset used in this paper for Ring Deconvolution Microscopy (RDM) experiments. -
STL-10 dataset
The dataset used in this paper is a collection of images from the STL-10 dataset, preprocessed and used for training and evaluation of the proposed diffusion spectral entropy... -
Canon dual-pixel defocus dataset
The Canon dual-pixel defocus dataset contains 1000 pairs of sharp and blurry 6720×4480 images. -
GoPro motion deblurring dataset
The GoPro motion deblurring dataset contains 3214 pairs of clean and blurry 1280 × 720 images. -
Real-world camera motion blur and defocus blur datasets
Real-world camera motion blur and defocus blur datasets for training a sharp NeRF under blurry input. -
Synthetic camera motion blur and defocus blur datasets
Synthetic camera motion blur and defocus blur datasets for training a sharp NeRF under blurry input. -
Lai dataset
The Lai dataset is a benchmark for single image blind deblurring, containing 11 blurry images with no clean/sharp counterparts. -
Kohler dataset
The Kohler dataset is a benchmark for blind image deblurring, containing 4 images with 12 different kernels. -
DVD dataset
The DVD dataset is a benchmark for image motion deblurring, containing 6708 synthetic blurry and sharp image pairs. -
GoPro dataset
The GoPro dataset is used for training, which contains 2103 pairs of blurred clear control images. The validation set used for training is 460 pairs of randomly divided images.... -
Image Deblurring
The CelebAHQ dataset was used with a Gaussian blur kernel with an std. of 2 [11]. -
Deblur-Test
Deblur-Test dataset for image deblurring -
Helsinki Deblur Challenge 2021
The Helsinki Deblur Challenge 2021 dataset consists of 20 sub-problems of increasing defocus blur, with 203 pairs of sharp and blurred images for each level. -
Real-world blur dataset for learning and benchmarking deblurring algorithms
Real-world blur dataset for learning and benchmarking deblurring algorithms. -
Synthetic Defocus Dataset
The dataset used in the paper is the synthetic defocus dataset, which consists of synthetic blurry training images and ground truth images.
