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Updated: Aug 13, 2026
07:45
Quasi-light Storage for Optical Data Packets
Published on: February 6, 2014
Optimized transmission of JPEG2000 streams over wireless channels
Nikolaos Thomos1, Nikolaos V Boulgouris, Michael G Strintzis
1Information Processing Laboratory, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Thessaloniki 541 24, Greece. nthomos@iti.gr
Summary
This study enhances JPEG2000 image transmission over wireless channels by using optimized product codes. The new method improves error resilience and outperforms existing wireless image transmission algorithms.
Area of Science:
- Digital image compression
- Wireless communication systems
- Error-correcting codes
Background:
- JPEG2000 image compression is widely used but vulnerable to errors in wireless transmission.
- Existing methods for wireless image transmission often lack sufficient error resilience.
- Optimizing error-correction codes is crucial for reliable data transfer over noisy channels.
Purpose of the Study:
- To develop an error-resilient transmission scheme for JPEG2000 images over wireless channels.
- To improve the performance of JPEG2000 image transmission in the presence of channel errors.
- To propose an optimized product-code structure for enhanced data integrity.
Main Methods:
- Reorganizing compressed JPEG2000 image data into product-coded streams.
- Employing Turbo-codes and Reed-Solomon codes within the product-code structure.
- Optimizing the product-code parameters through an iterative process.
- Directly generating the transmission stream from compressed JPEG2000 data.
Main Results:
- The proposed scheme demonstrates superior performance in transmitting JPEG2000 images over wireless channels.
- The error-resilient product-coded streams significantly reduce data loss and corruption.
- The iterative optimization process effectively enhances the coding efficiency.
Conclusions:
- The developed method offers a robust solution for wireless JPEG2000 image transmission.
- This approach significantly outperforms previously proposed algorithms for similar applications.
- The optimized product-code strategy is effective for improving image quality and reliability in wireless environments.
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