Title :
Color quantization for image processing using self information
Author :
Pujol, Alain ; Chen, Liming
Author_Institution :
Ecole Centrale de Lyon, Ecully
Abstract :
A digital picture generally contains tens of thousands of colors. Therefore, most image processing applications first need to apply a color reduction scheme before performing further sophisticated analysis operations such as segmentation. While a lot of color reduction techniques exist in the literature, they are mainly designed for image compression and are unfortunately not suited for many image processing operations (e.g. segmentation) as they tend to alter image color structure and distribution. In this paper, we propose a new color reduction scheme (SICR), using probabilities and information theory elements to balance between the information provided by the selected colors and the necessity to accurately represent the selected colors. We also advocate for the use of perceptually accurate metrics for evaluation. Experimental results on a diversified dataset of images selected from the internet show that our technique performs well compared to other color reduction schemes.
Keywords :
data compression; image coding; image colour analysis; image segmentation; color quantization; color reduction scheme; digital picture; image color structure; image compression; image processing; image segmentation; information theory elements; self information; Image analysis; Image coding; Image color analysis; Image processing; Image segmentation; Information theory; Internet; Mean square error methods; Performance analysis; Quantization;
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
DOI :
10.1109/ICICS.2007.4449822