Browse > Computer Vision > Image Compression

Image Compression

41 papers with code · Computer Vision

Leaderboards

Greatest papers with code

Full Resolution Image Compression with Recurrent Neural Networks

CVPR 2017 tensorflow/models

As far as we know, this is the first neural network architecture that is able to outperform JPEG at image compression across most bitrates on the rate-distortion curve on the Kodak dataset images, with and without the aid of entropy coding.

IMAGE COMPRESSION

End-to-end Optimized Image Compression

5 Nov 2016tensorflow/models

We describe an image compression method, consisting of a nonlinear analysis transformation, a uniform quantizer, and a nonlinear synthesis transformation.

IMAGE COMPRESSION

Lossless Image Compression through Super-Resolution

6 Apr 2020caoscott/SReC

We introduce a simple and efficient lossless image compression algorithm.

IMAGE COMPRESSION SUPER-RESOLUTION

Practical Full Resolution Learned Lossless Image Compression

CVPR 2019 fab-jul/L3C-PyTorch

We propose the first practical learned lossless image compression system, L3C, and show that it outperforms the popular engineered codecs, PNG, WebP and JPEG 2000.

IMAGE COMPRESSION

"Zero-Shot" Super-Resolution using Deep Internal Learning

17 Dec 2017assafshocher/ZSSR

On such images, our method outperforms SotA CNN-based SR methods, as well as previous unsupervised SR methods.

IMAGE COMPRESSION IMAGE SUPER-RESOLUTION

Semantic Perceptual Image Compression using Deep Convolution Networks

27 Dec 2016iamaaditya/image-compression-cnn

Here, we present a powerful cnn tailored to the specific task of semantic image understanding to achieve higher visual quality in lossy compression.

IMAGE COMPRESSION OBJECT DETECTION VIDEO COMPRESSION

Conditional Probability Models for Deep Image Compression

CVPR 2018 fab-jul/imgcomp-cvpr

During training, the auto-encoder makes use of the context model to estimate the entropy of its representation, and the context model is concurrently updated to learn the dependencies between the symbols in the latent representation.

IMAGE COMPRESSION QUANTIZATION

An End-to-End Joint Learning Scheme of Image Compression and Quality Enhancement with Improved Entropy Minimization

30 Dec 2019JooyoungLeeETRI/CA_Entropy_Model

In order to show the effectiveness of our proposed JointIQ-Net, extensive experiments have been performed, and showed that the JointIQ-Net achieves a remarkable performance improvement in coding efficiency in terms of both PSNR and MS-SSIM, compared to the previous learned image compression methods and the conventional codecs such as VVC Intra (VTM 7. 1), BPG, and JPEG2000.

IMAGE COMPRESSION