Nov. 24, 2022, 7:17 a.m. | Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu, Jinli Suo, Qionghai Dai

cs.CV updates on arXiv.org arxiv.org

Massive collection and explosive growth of biomedical data, demands effective
compression for efficient storage, transmission and sharing. Readily available
visual data compression techniques have been studied extensively but tailored
for natural images/videos, and thus show limited performance on biomedical data
which are of different features and larger diversity. Emerging implicit neural
representation (INR) is gaining momentum and demonstrates high promise for
fitting diverse visual data in target-data-specific manner, but a general
compression scheme covering diverse biomedical data is so far …

arxiv biomedical compression data neural compression spectrum

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