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Wavelet Image Compression

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Myung-Sin Song, SIU Edwardsville

What
  • Analysis Seminar
When Tue, Oct 10, 2006
from 02:10 PM to 03:00 PM
Where RH 316
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Abstract: While wavelet analysis is perhaps a chapter in function theory, we show that the algorithms that result from it is the key to the processing of numbers, or more precisely of digitized information, signals, digital images, etc. Thus, applications of the wavelets include substantial parts of signal and image processing, and many other fields of science and engineering. My talk focuses on the processing of images with the use of custom designed wavelet algorithms, and threshold filters with their mathematical properties. This is to outline various connections between Hilbert space geometry and image processing. That is, referring a digital image as a matrix and show how the low-pass filter and high-pass filter as operators are digitized and are being used in a computer program to compress the image.

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