Web: http://arxiv.org/abs/2112.06334

May 9, 2022, 1:10 a.m. | Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi, Youngo Park, Chang-Su Kim

cs.CV updates on arXiv.org arxiv.org

We propose the deep progressive image compression using trit-planes (DPICT)
algorithm, which is the first learning-based codec supporting fine granular
scalability (FGS). First, we transform an image into a latent tensor using an
analysis network. Then, we represent the latent tensor in ternary digits
(trits) and encode it into a compressed bitstream trit-plane by trit-plane in
the decreasing order of significance. Moreover, within each trit-plane, we sort
the trits according to their rate-distortion priorities and transmit more
important information first. …

arxiv compression deep image

More from arxiv.org / cs.CV updates on arXiv.org

Data Analyst, Patagonia Action Works

@ Patagonia | Remote

Data & Insights Strategy & Innovation General Manager

@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX

Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis

@ Ahmedabad University | Ahmedabad, India

Director, Applied Mathematics & Computational Research Division

@ Lawrence Berkeley National Lab | Berkeley, Ca

Business Data Analyst

@ MainStreet Family Care | Birmingham, AL

Assistant/Associate Professor of the Practice in Business Analytics

@ Georgetown University McDonough School of Business | Washington DC