Many color image processing methods employ gray scale image algorithms first and then apply color mapping afterwards. Most popular gamut mapping techniques are hue-preserving methods such as shifting or scaling of color components. However, those methods result in unnatural modification of color saturation. In this paper, we propose a novel color mapping method based on nonlinear luminance-RGB component characteristic curves of a camera taking the image. We obtain an accurate color value after luminance enhancement using luminance-RGB curves of the camera. All experiments demonstrate that our algorithm is effective and suitable to be embedded in a camera because of its simplicity and accuracy in color enhancement of digital images. © 2011 Springer-Verlag.
CITATION STYLE
Yang, S., Kim, Y. A., Kang, C., & Lee, B. U. (2011). Color compensation using nonlinear luminance-RGB component curve of a camera. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6939 LNCS, pp. 617–626). https://doi.org/10.1007/978-3-642-24031-7_62
Mendeley helps you to discover research relevant for your work.