Maximum a posteriori estimation of spectral reflectance from color image and multipoint spectral measurements.

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.

[1]  Toshio Uchiyama,et al.  Development of a 16-band multispectral image archiving system , 2005, IS&T/SPIE Electronic Imaging.

[2]  T. Obi,et al.  Nonlinear estimation of spectral reflectance based on Gaussian mixture distribution for color image reproduction. , 2002, Applied optics.

[3]  Peter D. Burns,et al.  Analysis Multispectral Image Capture , 1996, CIC.

[4]  Masahiro Yamaguchi,et al.  Natural color reproduction in the television system for telemedicime , 1997, Medical Imaging.

[5]  W K Pratt,et al.  Spectral estimation techniques for the spectral calibration of a color image scanner. , 1976, Applied optics.

[6]  B. R. Hunt,et al.  Karhunen-Loeve multispectral image restoration, part I: Theory , 1984 .

[7]  Brian A Wandell,et al.  Spectral estimation theory: beyond linear but before Bayesian. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[8]  Toshio Uchiyama,et al.  Color image reproduction based on multispectral and multiprimary imaging: experimental evaluation , 2001, IS&T/SPIE Electronic Imaging.

[9]  Hideaki Haneishi,et al.  Six Band HDTV Camera System for Spectrum-Based Color Reproduction , 2004, Journal of Imaging Science and Technology.

[10]  H Haneishi,et al.  System design for accurately estimating the spectral reflectance of art paintings. , 2000, Applied optics.

[11]  Hideaki Haneishi,et al.  High-fidelity video and still-image communication based on spectral information: natural vision system and its applications , 2006, Electronic Imaging.

[12]  Russell C. Hardie,et al.  Application of the stochastic mixing model to hyperspectral resolution enhancement , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[13]  J. C. Price,et al.  Combining panchromatic and multispectral imagery dual resolution satellite instruments , 1987 .

[14]  Robert A. Schowengerdt,et al.  Synthesis of imagery with high spatial and spectral resolution from multiple image sources , 1994 .

[15]  Russell C. Hardie,et al.  Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Russell C. Hardie,et al.  MAP estimation for hyperspectral image resolution enhancement using an auxiliary sensor , 2004, IEEE Transactions on Image Processing.