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Many applications require object recognition and multimedia security. However, images/videos in traditional recognition systems may have low quality and/or contain noise. Furthermore, those systems do not always have the function to protect the multimedia data. This thesis introduces a new multimedia security system for security and medical applications requiring object recognition and multimedia encryption.
Several algorithms are introduced to enhance CT baggage images for detecting threat objects, and for detecting cancer in mammograms and prostate MR images. The second-derivative-like measure of enhancement is introduced to quantitatively evaluate the performance of the enhancement algorithms. Novel parametric recursive sequences are developed and then integrated with bit-plane decomposition methods to protect multimedia data. Finally, the thesis introduces utilizing edge maps for image encryption.
|Election of Regional Directors-at-Large and Members-at-Large||1 October 2020|
|Meet the 2020 Candidates: IEEE President-Elect and Division IX Director-Elect||1 October 2020|
|Call for Nominations: SPS Chapter of the Year Award||15 October 2020|
|Call for Nominations Extended: Chair, Young Professionals Committee||16 October 2020|
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