The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 28-416
Full Name: Jouni Pääkkönen
Position: Researcher
Age: ON
Sex: Male
Address: University of Kuopio, Department of Computer Science, P.O.B 1627, FI-70211, Kuopio, Finland
Country: FINLAND
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E-mail address: jouni.paakkonen@uku.fi
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Title of the Paper: Lossy Wavelet Compression of Color Images: The Choice of Color Space and Wavelet Base
Authors as they appear in the Paper: Jouni Pääkkönen, Niina Päivinen, Pekka Toivanen
Email addresses of all the authors: jouni.paakkonen@uku.fi,niina.paivinen@cs.uku.fi,pekka.toivanen@uku.fi
Number of paper pages: 10
Abstract: This study presents the behavior of color spaces and wavelet base functions using lossy wavelet encoding system. The aim of lossy compression was to achieve excellent compressed image quality. Wavelet base functions used were Haar, Symlets and Biorthogonals and color spaces used were RGB, CMY, Ohta, L*u*v* and YCbCr. All of these color spaces have different properties and the choice of the color space can alter the results. In case of every test image the best compression ratio was obtained using YCbCr and L*u*v* color spaces and Haar wavelet base function. Root-mean-squared signal-to-noise ratios were also measured.
Keywords: Color space, Wavelet base function, Lossy image compression, Compression ratio, Root-mean-squared signal-to-noise ratio
EXTENSION of the file: .pdf
Special (Invited) Session: The Effect of Color Space and Wavelet Bases in Lossy Wavelet Compression
Organizer of the Session: 599-150
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