Deep Image Compression is an end-to-end tool for extreme image compression using deep learning. It outperforms JEPG, HEIC(state-of-the-art traditional image compression method, derived from H.265, ...

The focus is on exploring and implementing deep learning methodologies for both lossless and lossy image compression. By leveraging advanced neural network architectures such as Multilayer Perceptrons ...

(arXiv preprint 2021) DPICT: Deep Progressive Image Compression Using Trit-Planes, Lee, Jae-Han and Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su (VR) (arXiv preprint 2021) ...

Machine learning and deep learning techniques are few of the important data analysis methods having interesting property of being able to learn complex feature representation from data. In recent ...

These days, applications like transmission and database storage require image compression. This essay examines and discusses picture compression, the need for compression, basic tenets, ...

Over the last five years, researchers have started rethinking compression as a computer vision problem, building new solutions with machine learning, particularly using versatile deep learning ...

Over the last five years, researchers have started rethinking compression as a computer vision problem, building new solutions with machine learning, particularly using versatile deep learning ...