Image Compression - Groups

TECNICK image dataset

The TECNICK image dataset is a collection of images used for testing image compression algorithms.

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CLIC image dataset

The CLIC image dataset is a collection of images used for testing image compression algorithms.

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Kodak PhotoCD image dataset

The Kodak PhotoCD image dataset is a collection of images used for testing image compression algorithms.

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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.

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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.

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DIV2K, Flickr2K, and CLIC datasets

The dataset used in the paper for neural image compression.

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CIC 2020: Challenge on Learned Image Compression

The CIC 2020 dataset is a collection of images with different compression methods.

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Manga109 dataset

Manga109 dataset is a benchmark for Single Image Super-Resolution (SISR) tasks. It contains 109 manga images with randomly selected reference images.

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Urban100 dataset

The Urban100 dataset is a benchmark for image denoising, containing 100 images with varying levels of noise.

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BSDS500 dataset

The dataset used in this paper is the BSDS500 dataset, which contains 200 natural images with over 1000 ground truth labellings.

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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...

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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...

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Toward Joint Image Generation and Compression using Generative Adversarial Ne...

The proposed framework generates JPEG compressed images using generative adversarial networks.

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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...