1. Maximum a posteriori estimation of spectral reflectance from color image and multipoint spectral measurements
- Author
-
Masahiro Yamaguchi, Yuri Murakami, Kunihiko Ietomi, and Nagaaki Ohyama
- Subjects
medicine.medical_specialty ,Channel (digital image) ,Color image ,Computer science ,business.industry ,Materials Science (miscellaneous) ,Multispectral image ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Hyperspectral imaging ,Image processing ,Inverse problem ,Reflectivity ,Industrial and Manufacturing Engineering ,Image (mathematics) ,Spectral imaging ,Optics ,Computer Science::Computer Vision and Pattern Recognition ,medicine ,Maximum a posteriori estimation ,Business and International Management ,Spectroscopy ,business - Abstract
Accurate color image reproduction under arbitrary illumination can be realized if the spectral reflectance functions in a scene are obtained. Although multispectral imaging is one of the promising methods to obtain the reflectance of a scene, it is expected to reduce the number of color channels without significant loss of accuracy. This paper presents what we believe to be a new method for estimating spectral reflectance functions from color image and multipoint spectral measurements based on maximum a posteriori (MAP) estimation. Multipoint spectral measurements are utilized as auxiliary information to improve the accuracy of spectral reflectance estimated from image data. Through simulations, it is confirmed that the proposed method improves the estimation accuracy, particularly when a scene includes subjects that belong to various categories.
- Published
- 2007