Adaptive Coding for Medical Image Transmission
Author Information
Author(s): Lo Jen-Lung, Sanei Saeid, Nazarpour Kianoush
Primary Institution: Centre of Digital Signal Processing, Cardiff University
Hypothesis
Can adaptive source-channel coding improve the transmission of medical images over noisy channels?
Conclusion
The proposed adaptive coding system significantly reduces transmission time and errors while allowing user control over important image regions.
Supporting Evidence
- The system allows users to select the region of interest for better image quality.
- It adapts the coding based on the noise level in the transmission channel.
- The proposed method has been tested with various medical images.
Takeaway
This study shows a new way to send medical images quickly and clearly, even when the connection is noisy, by focusing on the most important parts of the image.
Methodology
The study used simulations in both binary symmetric and Rayleigh channels to test the proposed adaptive coding system.
Limitations
The system is primarily designed for wireless channels and may not perform as well in other contexts.
Digital Object Identifier (DOI)
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