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November 27, 2008 - Thesis Defense - Sohail Bahmani

by Chao Cheng
Sohail Bahmani

Thesis Title: Joint Source-Channel Decoding of JPEG2000 Images with Unequal Loss Protection

Date of Defense: November 27th, 2008
Time: 12:00-2:00 pm
Room: ASB 9705


Chair: Dr. Rodney Vaughan
Senior Supervisor: Dr. Ivan Bajić
Co-Supervisor: Dr. Atousa HajShirmohammadi
Supervisor: Dr. Jie Liang
Examiner: Dr. Daniel Lee

ABSTRACT


This thesis proposes the joint decoding of JPEG2000 bitstreams and Reed-Solomon codes in the context of unequal loss protection. Using error resilience features of JPEG2000 bitstreams, the joint decoder helps to restore the erased symbols when the Reed-Solomon decoder fails to retrieve them on its own. The proposed joint decoding technique can deliver significant quality gain, though the process is often computationally exhaustive. To reduce the extra decoding time, we provide three solutions. The first two solutions employ smaller codeblocks and sub-coding-pass error localization to accelerate the process. Furthermore, we show how transmitting a relatively small amount of side information with high reliability may help the joint decoder by reducing the size of the search space and bypassing some of the JPEG2000 decoding iterations needed to verify the correctness of the restored source information. The improved joint decoder can perform significantly faster than the basic one.

Keywords: Unequal Loss Protection; JPEG2000; Reed-Solomon code; Joint Source-Channel Decoding
Subject Terms: Image Transmission; Coding Theory

Page last modified on: 2008-11-06 03:43
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