Title :
Rendering greyscale image using color feature
Author :
Ji, Ye ; Chen, Yan
Author_Institution :
Sch. of Econ. & Manage., Dalian Maritime Univ., Dalian
Abstract :
Color transfer between images is one of the most common tasks in image processing. In this paper, we present a method of color feature extraction and selection to increase the successful possibility of transferring color from color image to greyscale image. A kind of HSV quantization algorithm plays an important role in this procedure. In source image, it is used to convert three-dimensional RGB pixels into one-dimensional pixels. Thus, the pixels can be clustered if their color is similar. It will help to select sample pixels from colorful image reasonably and transfer their color information to greyscale image.
Keywords :
feature extraction; image coding; image colour analysis; image resolution; quantisation (signal); rendering (computer graphics); HSV quantization algorithm; color feature extraction; color transfer; greyscale image rendering; three-dimensional RGB pixels; Color; Conference management; Cybernetics; Feature extraction; Image converters; Image processing; Machine learning; Pixel; Quantization; Rendering (computer graphics); Color Transfer; Color feature; HSV Space;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620924