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

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US