The effect of color space and wavelet bases in lossy wavelet compression

  • Authors:

  • Jouni Pääkkönen;Niina Päivinen;Pekka Toivanen

  • Affiliations:

  • University of Kuopio, Department of Computer Science, Kuopio, Finland;University of Kuopio, Department of Computer Science, Kuopio, Finland;University of Kuopio, Department of Computer Science, Kuopio, Finland

  • Venue:
  • SSIP'08 Proceedings of the 8th conference on Signal, Speech and image processing
  • Year:
  • 2008

Quantified Score

Hi-index 0.01

Visualization

Abstract

In this paper we present how different color spaces and wavelet bases behave in lossy wavelet compression. We used three different wavelet base functions: Haar, Symlets and Biorthogonals. 11 different color spaces were tested. We chose four of the color spaces which were RGB, 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. We aimed to excellent image quality. YCbCr and L*u*v color spaces produced the best results using the simplest wavelet base function Haar.