Volume 3 Number 6 (Dec. 2011)
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IJCEE 2011 Vol.3(6): 795-801 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2011.V3.422

Multilevel Compression Scheme using Vector Quantization for Image Compression

S. Vimala, B. Abidha, and P. Uma

Abstract—This paper presents an application of the fuzzy logic to the unit commitment problem in order to find a generation scheduling such that the total operating cost can be minimized while satisfying a variety of constraints. The optimization algorithm employed to solve the unit commitment problem benefits from the advantages of dynamic programming and the fuzzy logic approaches in the purpose of obtaining preferable unit combinations at each load demand. As a case study, the four-generating unit thermal power plant of Tuncbilek in Turkey is used. The purpose is to show that the fuzzy logic based approach achieves a solution to the unit commitment problem that is logical, feasible and with economical cost of operation which is the main objective of unit commitment. The results obtained by the fuzzy logic are tabulated, graphed and compared with that obtained by the dynamic programming. The outcomes show that the implementation of fuzzy logic provides a feasible solution with significant savings.

Index Terms—codebook, compression, index-map,interpolative, MMSE, SOC

The authors are with the Department of Computer Science, Mother Teresa Women’s University, Kodaikanal - 624102, Tamil Nadu, Indiasince 1999. (e-mail: vimalaharini@gmail.com, rabidha@yahoo.com,umapoomi@gmail.com)

Cite: S. Vimala, B. Abidha, and P. Uma, "Multilevel Compression Scheme using Vector Quantization for Image Compression," International Journal of Computer and Electrical Engineering vol. 3, no. 6, pp. 795-801, 2011.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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