Color Image Wavelet Compression Using Vector Morphology
Author
M Saenz, R Oktem, K Egiazarian, E Delp
Tech report number
CERIAS TR 2001-120
Abstract
In this paper we explore a wavelet compression scheme for color images that uses binary vector morphology to
aid in the encoding of the locations of the wavelet coefficients. This is accomplished by predicting the
significance of coefficients in the sub-bands. This approach fully exploits the correlation between color
components and the correlation between and within subbands of the wavelet coefficients. This compression
scheme produces images that are comparable in quality to
those of color zerotree tree encoders at the same data rate but is computationally less complex.
Note
Proceedings of the European Signal Processing Conference (EUSIPCO), September 5-8, 2000, Tampere, Finland
Publication Date
2000-09-00