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Reducing Storage in Large-Scale Photo Sharing Services using Recompression
The dataset used in the paper is a large-scale photo sharing service, where images are stored and retrieved. The authors propose a new recompression technique to reduce storage... -
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. -
Low-complexity image compression
A JPEG-like image compression computational experiment is presented. -
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. -
TECNICK image dataset
The TECNICK image dataset is a collection of images used for testing image compression algorithms. -
CLIC image dataset
The CLIC image dataset is a collection of images used for testing image compression algorithms. -
Kodak PhotoCD image dataset
The Kodak PhotoCD image dataset is a collection of images used for testing image compression algorithms. -
JointIQ-Net: A Novel End-to-End Learning Scheme for Image Compression and Qua...
The proposed JointIQ-Net is a novel end-to-end learning scheme for image compression and quality enhancement. -
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. -
DIV2K, Flickr2K, and CLIC datasets
The dataset used in the paper for neural image compression. -
CIC 2020: Challenge on Learned Image Compression
The CIC 2020 dataset is a collection of images with different compression methods. -
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. -
Frequency-Aware Re-Parameterization for Over-Fitting Based Image Compression
Over-fitting based image compression requires weights compactness for compression and fast convergence for practical use, posing challenges for deep convolutional neural... -
TMAE-Enhanced Compression
The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used a transformer-masked autoencoder (TMAE) to enhance data compression in... -
Toward Joint Image Generation and Compression using Generative Adversarial Ne...
The proposed framework generates JPEG compressed images using generative adversarial networks. -
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Ne...
Generative model based image lossless compression algorithms have seen a great success in improving compression ratio. However, the throughput for most of them is less than 1... -
Neural Joint Source-Channel Coding
The dataset used in the paper for neural joint source-channel coding.
