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UW Data Compression Laboratory

Welcome to the Data Compression Laboratory at the University of Washington's department of Electrical Engineering. We conduct research in the areas of image and video compression and image processing. The lab is run by Professor Eve Riskin. And Professor Richard Ladner. Of Computer Science and Engineering. The laboratory is supported by the National Science Foundation, Microsoft Research, and Intel Corporation. Are available via http. In addition, Marko Slyz ( mslyz@erim.org. With Phillips and Parr (Pren...

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UW Data Compression Laboratory | dcl.ee.washington.edu Reviews

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Welcome to the Data Compression Laboratory at the University of Washington's department of Electrical Engineering. We conduct research in the areas of image and video compression and image processing. The lab is run by Professor Eve Riskin. And Professor Richard Ladner. Of Computer Science and Engineering. The laboratory is supported by the National Science Foundation, Microsoft Research, and Intel Corporation. Are available via http. In addition, Marko Slyz ( mslyz@erim.org. With Phillips and Parr (Pren...

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1 data compression laboratory

2 uw electrical engineering

3 research information

4 current students

5 jessica tran

6 joy kim

7 sheri yin

8 rafael rodriguez

9 jaehong chon

10 rahul vanam

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UW Data Compression Laboratory | dcl.ee.washington.edu Reviews

https://dcl.ee.washington.edu

Welcome to the Data Compression Laboratory at the University of Washington's department of Electrical Engineering. We conduct research in the areas of image and video compression and image processing. The lab is run by Professor Eve Riskin. And Professor Richard Ladner. Of Computer Science and Engineering. The laboratory is supported by the National Science Foundation, Microsoft Research, and Intel Corporation. Are available via http. In addition, Marko Slyz ( mslyz@erim.org. With Phillips and Parr (Pren...

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23-Nov-1999 23:16 1.4M. Indices 08 19 96.tar.Z. Apache/2.2.3 (CentOS) Server at dcl.ee.washington.edu Port 80.

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EE587 Bibliography

http://dcl.ee.washington.edu/biblio.html

More information, including some UW library location information, is available by clicking on the link for each book. UW's University BookStore. Can also obtain most of these books and will ship them to you free of charge. They will even do out-of-print searches. Introduction to data compression. Data compression : the complete reference. Data compression : methods and theory. Storer, James A. The Data Compression Book. Digital Coding of Waveforms. Jayant, N. S. and P. Noll. An Introduction to Wavelets.

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Publications

http://dcl.ee.washington.edu/papers/README.html

Agnieszka C. Miguel, Amanda R. Askew, Alexander Chang, Scott Hauck, Richard E. Ladner,and Eve A. Riskin, "Reduced Complexity Wavelet-Based Predictive Coding of Hyperspectral Images for FPGA Implementation" - pdf. Submitted for publication to IEEE Transactions on Geoscience and Remote Sensing, June 2004. Edwin Hong, Richard E. Ladner, and Eve A. Riskin, "Group Testing for Image Compression Using Alternative Transforms" - pdf. Signal Processing: Image Communication, 18 (2003): 561-574, August 2003. Submitt...

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Eve Riskin

http://www.ee.washington.edu/faculty/riskin

Associate Dean of Diversity and Access. Signal and Image Processing. Seattle, WA 98195. Stanford University, Electrical Engineering 1990 Ph.D. Stanford University, Operations Research 1986 M.S. Stanford University, Electrical Engineering 1985 M.S. MIT, Electrical Engineering 1984 B.S. IEEE Fellow, 2009. University of Washington David B. Thorud Leadership Award 2007. Hewlett Packard/Harriet B. Rigas Award, 2006. Women in Engineering Programs and Advocates Network University Change Agent Award, 2006. Alexa...

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Welcome to the Data Compression Laboratory at the University of Washington's department of Electrical Engineering. We conduct research in the areas of image and video compression and image processing. The lab is run by Professor Eve Riskin. And Professor Richard Ladner. Of Computer Science and Engineering. The laboratory is supported by the National Science Foundation, Microsoft Research, and Intel Corporation. Are available via http. In addition, Marko Slyz ( mslyz@erim.org. With Phillips and Parr (Pren...

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