Date of Award
3-2001
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Electrical and Computer Engineering
First Advisor
Roger L. Claypoole, Jr., PhD
Abstract
With the decline in military spending, the United States relies heavily on state side support. Communications has never been more important. High-quality audio and video capabilities are a must. Watermarking, traditionally used for copyright protection, is used in a new and exciting way. An efficient wavelet-based watermarking technique embeds audio information into a video signal. Several highly effective compression techniques are applied to compress the resulting audio/video signal in an embedded fashion. This wavelet-based compression algorithm incorporates bit plane coding, first difference coding, and Huffman coding. To demonstrate the potential of this audio embedding audio/video compression system, an audio signal is embedded into a video signal and the combined signal is compressed. Results show that overall compression rates of 15:1 can be achieved. The video signal is reconstructed with a median PSNR of nearly 33dB. Finally, the audio signal is extracted with out error.
AFIT Designator
AFIT-GE-ENG-01M-18
DTIC Accession Number
ADA391912
Recommended Citation
Mendenhall, Michael J., "Wavelet-Based Audio Embedding & Audio/Video Compression" (2001). Theses and Dissertations. 4664.
https://scholar.afit.edu/etd/4664