Title
Invertible color-to-monochrome transformation based on clustering with lightness constraint
Abstract
To generate a monochrome image from a color one, usually, lightness components of the color image are extracted and used. This transformation is generally not invertible and it is impossible to reconstruct the original color information from a yielded monochrome image. In this paper, we propose an invertible color-to-monochrome transform method obtaining the monochrome image which contains the color information and enables us to reconstruct a color image. In the proposed method, colors in an input image are clustered by k-means-based algorithm with a lightness constraint, and the output monochrome image is obtained using the clustering result.
Year
DOI
Venue
2010
10.1109/ICSMC.2010.5641671
Systems Man and Cybernetics
Keywords
Field
DocType
image colour analysis,pattern clustering,color image,color information,color-to-monochrome transformation,k-means clustering,lightness constraint,monochrome image,Image processing,color image,invertible color-to-monochrome transformation,k-means clustering
Computer vision,Color histogram,Monochrome,Computer science,Binary image,Color balance,RGB color model,Artificial intelligence,Lightness,Color quantization,Color image
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4244-6586-6
2
PageRank 
References 
Authors
0.36
3
3
Name
Order
Citations
PageRank
Tanaka, G.120.36
Noriaki Suetake2122.83
Eiji Uchino320.36