Search for Articles:

MECS Press Menu

Richard M. Dansereau

Work place: Department of Systems & Computer Engineering, Carleton University Ottawa, Ontario, Canada

E-mail: dsli@bjut.edu.cn

Website:

Research Interests: Engineering, Computational Science and Engineering, Computer Science & Information Technology

Biography

Richard M. Dansereau, received the B.Sc. and Ph.D. degrees in Computer Engineering from the Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada, in 1995 and 2001, respectively. From 1996 to 2000, he was a researcher with the Telecommunications Research Laboratories (TRLabs) dealing with wavelet and fractal image analysis. From 1999 to 2000, he was also with SpectraWorks, Inc. developing MPEG-DB satellite communication systems. From 2000 to 2001, he was an Instructor and Research Engineer in the Department of Electrical and Computer Engineering at the Georgia Institute of Technology, Atlanta, GA, and was also part of the Center for Signal and Image Processing at Georgia Tech. In September 2001, he joined the Department of Systems and Computer Engineering, Carleton University, ON, Canada, where he is currently an Associate Professor.

Author Articles
Lossless Image Compression Using A Simplified MED Algorithm with Integer Wavelet Transform

By Mohamed M. Fouad Richard M. Dansereau

DOI: https://doi.org/10.5815/ijigsp.2014.01.03, Pub. Date: 8 Nov. 2013

In this paper, we propose a lossless (LS) image compression technique combining a prediction step with the integer wavelet transform. The prediction step proposed in this technique is a simplified version of the median edge detector algorithm used with JPEG-LS. First, the image is transformed using the prediction step and a difference image is obtained. The difference image goes through an integer wavelet transform and the transform coefficients are used in the lossless codeword assignment. The algorithm is simple and test results show that it yields higher compression ratios than competing techniques. Computational cost is also kept close to competing techniques.

[...] Read more.
Other Articles

Subscribe to receive issue release notifications and newsletters from MECS Press journals