Oct. 19, 2022, 1:16 a.m. | Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong

cs.CV updates on arXiv.org arxiv.org

Volumetric image compression has become an urgent task to effectively
transmit and store images produced in biological research and clinical
practice. At present, the most commonly used volumetric image compression
methods are based on wavelet transform, such as JP3D. However, JP3D employs an
ideal, separable, global, and fixed wavelet basis to convert input images from
pixel domain to frequency domain, which seriously limits its performance. In
this paper, we first design a 3-D trained wavelet-like transform to enable
signal-dependent and …

3-d arxiv compression image wavelet

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne