Paper Info
Title
Fast color transformation by means of hierarchical table lookups
Abstract
Virtually all image compression techniques are designed to minimize the popular and easy-to-compute mean square error (MSE) measure of distortion. However, for images represented in the RGB color space the MSE is a poor match to the human visual system. Better results could be obtained by transforming the input image in a perceptually uniform color space such as the C.I.E. L*u*v*, but such a color conversion is very time-consuming and for this reason it is rarely used. In this paper we propose to carry out the color space conversion by means of a high-rate hierarchical vector quantizer which requires only table lookup operations. As a consequence, the computational burned is reduced to a minimum and the transformation can be implemented efficiently both in hardware and software. Experimental results show that the the proposed fast color space transformation, although lossy, improves the visual quality of compressed images, as compared to that of images compressed without any color conversion.
Year
Venue
Keywords
1998
EUSIPCO
distortion measurement,image coding,image colour analysis,mean square error methods,table lookup,vector quantisation,c.i.e. l*u*v*,mse,rgb color space,color space conversion,color transformation,hierarchical table lookups,high-rate hierarchical vector quantizer,human visual system,image compression,mean square error,perceptually uniform color space,vector quantization,color,visualization,psnr
Field
DocType
ISBN
Computer vision,High color,Color space,Color histogram,RGB color space,Color depth,RGB color model,Artificial intelligence,3D lookup table,Mathematics,Color image
Conference
978-960-7620-06-4
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Dragotti, P.L.151239.29
Ragozini, A.R.P.200.34