Separating Reflection Components Based on Chromaticity and Noise Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified framework for scene illuminant estimation
Image and Vision Computing
Highlight detection and removal based on chromaticity
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
IEEE Transactions on Image Processing
An effective method for illumination-invariant representation of color images
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
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This paper proposes a method for estimating the scene illuminant spectral power distributions of multiple light sources under a complex illumination environment. The spectral power distributions including natural and artificial illuminants are estimated based on the image data from a high-dimensional spectral imaging system. We note that specular highlights on inhomogeneous dielectric object surfaces includes much information about scene illumination according to the dichromatic reflection model. First, we describe several methods for detecting specular highlight areas. We assume a curved object surface illuminated by multiple light sources from different directions. Then we estimate the illuminant spectrum of each light source from the image data of that highlight area. Based on this principle, we present an algorithm to estimate multiple illuminants. The feasibility of the proposed method is shown in experiments.