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HCI Light Field Image Dataset
Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras. -
Stanford Lytro Light Field Image Dataset
Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras. -
EPFL Light Field Image Dataset
Light Field (LF) image can be captured and sampled by a plenoptic camera composed of an array of microlens such as Lytro and Raytrix cameras. -
CLIC2020 Professional Dataset
The CLIC2020 professional test dataset provides high-quality images with an average resolution of 1803 x 1175 pixels. -
End-to-End Optimized Image Compression with the Frequency-Oriented Transform
The proposed end-to-end optimized image compression model using the frequency-oriented transform. -
CLIC training dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors trained their model on the CLIC training dataset. -
CLIC intra coding challenge 2021, TECNICK dataset, DIV2K dataset
The dataset used in the paper is a combination of the CLIC intra coding challenge 2021, the TECNICK dataset, and the DIV2K dataset. -
Manga109 dataset
Manga109 dataset is a benchmark for Single Image Super-Resolution (SISR) tasks. It contains 109 manga images with randomly selected reference images. -
Urban100 dataset
The Urban100 dataset is a benchmark for image denoising, containing 100 images with varying levels of noise. -
BSDS500 dataset
The dataset used in this paper is the BSDS500 dataset, which contains 200 natural images with over 1000 ground truth labellings. -
Toward Joint Image Generation and Compression using Generative Adversarial Ne...
The proposed framework generates JPEG compressed images using generative adversarial networks. -
Efficient Parallel Algorithms for Inpainting-Based Representations of 4K Images
The dataset used in this paper for homogeneous diffusion inpainting. -
Malaria Cell Images Dataset
Malaria Cell Images Dataset -
CLIC Compression Challenge Professional Dataset
The dataset used in the paper is the CLIC Compression Challenge Professional Dataset. -
KITTI Stereo 2012 and 2015
KITTI Stereo 2012 and 2015 dataset. -
Neural Distributed Image Compression using Common Information
Neural distributed image compression using common information. -
Deep Image Compression using Decoder Side Information
Deep image compression using decoder side information. -
Neural Distributed Source Coding
Distributed source coding (DSC) is the task of encoding an input in the absence of correlated side information that is only available to the decoder. -
CLIC2020 test dataset and Kodak dataset
The dataset used in the paper is the CLIC2020 test dataset and the Kodak dataset. -
Kodak, Tecnick, and CLIC 2022
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used Kodak, Tecnick, and CLIC 2022 as their test sets.
