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| Damon L. Tull |
| Damon L. Tull Assistant Professor |
| 3627 Engineering Hall 1415 Engineering Drive Madison, WI 53706 |
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Tel: 608/262-3610 E-mail: tull@engr.wisc.edu |
In the near future, digital television, enhanced cable and wireless services will give consumers and professionals unprecedented access to video data in digital format. These emerging technologies will create a demand for new, more sophisticated tools for the manipulation and enhancement of digital image sequences, across a broad range of imaging modalities.
My research focuses on the development of these tools -- algorithms and systems that address the inevitable problems that impede the efficient acquisition, representation, and transmission of digital image sequences. These problems are often difficult, ill-posed problems that lack a unique and stable solution. An aspect of my research considers special (robust) procedures required to transform an ill-posed problem into a well-posed one. I have considered the used of these techniques in a broad range of image sequence problems including:
I am also interested in how constraints or cues from the human visual system impact the solution to these problems. My latest work shows that a special class of dynamic visual cues can be used successfully, in conjunction with robust statistical regularization, to obtain unique, meaningful solutions to the image restoration and motion estimation problems.
I am presently exploring new regularization techniques for ill-posed inverse problems, the efficient implementation of regularized iterative algorithms and intelligent/adaptive image acquisition systems.
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Copyright 2005 The Board of Regents of the University of Wisconsin System Date last modified: Tuesday, 08-Jan-2002 08:51:14 CST Content by: tull@engr.wisc.edu UW-Madison : COE : ECE : ECE Site Map |
