A universal colour transformation architecture

Abstract A real-time transformation hardware for RGB to other colour models is presented here. Eight colour spaces, namely CMY , YIQ , HSV , HLS , CIEXYZ , CIExyY , CIELa * b * and YCrCb , have been tested for the system. Hardware results have then been compared against those generated by algorithmic implementations using floating point arithmetic for accuracy.

[1]  Duncan Fyfe Gillies,et al.  Interactive computer graphics - functional, procedural and device-level methods , 1989, International computer science series.

[2]  Xiaolin Wu,et al.  YIQ vector quantization in a new color palette architecture , 1996, IEEE Trans. Image Process..

[3]  John C. Beatty,et al.  An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models , 1987, TOGS.

[4]  Hahn,et al.  Tools for Automted Statistical Graphics , 1981, IEEE Computer Graphics and Applications.

[5]  Haim Levkowitz,et al.  GLHS: A Generalized Lightness, Hue, and Saturation Color Model , 1993, CVGIP Graph. Model. Image Process..

[6]  Bernhard Hill,et al.  Comparative analysis of the quantization of color spaces on the basis of the CIELAB color-difference formula , 1997, TOGS.

[7]  Christopher C. Yang,et al.  Efficient Luminance and Saturation Processing Techniques for Color Images , 1997, J. Vis. Commun. Image Represent..

[8]  Johji Tajima Uniform color scale applications to computer graphics , 1983, Comput. Vis. Graph. Image Process..

[9]  Haim Levkowitz,et al.  Color scales for image data , 1992, IEEE Computer Graphics and Applications.

[10]  Mehmet Celenk,et al.  A color clustering technique for image segmentation , 1990, Comput. Vis. Graph. Image Process..

[11]  Philip K. Robertson,et al.  The Generation of Color Sequences for Univariate and Bivariate Mapping , 1986, IEEE Computer Graphics and Applications.