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Updated: Jul 10, 2026

Bridging the Technology Divide in the COVID-19 Era: Using Virtual Outreach to Expose Middle and High School Students to Imaging Technology
Published on: September 28, 2022
Interactive and adaptive progressive transmission of medical images
Jen-Lung Lo1, Saeid Sanei, Kianoush Nazarpour
1Centre of Digital Signal Processing, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK. LoJ@cf.ac.uk
Abstract:
An interactive and adaptive joint source-channel coding for progressive transmission of medical images is proposed. This modality is favorable since the region of interest (RoI) is emphasized. The source compression rate is influenced by the proximity to the ROI, which includes significant diagnostic information. Also, the channel coding scalability is affected by both the ROI and the channel characteristics. Therefore both the source compression rate and the parity code length are jointly adapted to (1) the ROI, (2) the channel characteristics, and (3) the required rate or channel capacity. The experimental results verify the effectiveness of the design. The outcome of this project allows transmission of large medical images through narrowband mobile communication channels.
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