IEEE Transactions on Pattern Analysis and Machine Intelligence
Separating Reflection Components Based on Chromaticity and Noise Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Specular Reflection Reduction with Multi-Flash Imaging
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Reflection Components Decomposition of Textured Surfaces Using Linear Basis Functions
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Shape from Specular Reflection and Optical Flow
International Journal of Computer Vision
Accurately estimating reflectance parameters for color and gloss reproduction
Computer Vision and Image Understanding
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Diffuse and specular image component separation is a powerful image preprocessing for image segmentation. The approach presented here is based on observed properties of the distribution of pixel colors in the RGB cube according to the Dichromatic Reflectance Model (DRM). We estimate the lines in the RGB cube corresponding to the diffuse and specular chromaticities. Then the specular component is easily removed by projection on the diffuse chromaticity line. The specular component is computed by a straightforward difference. The proposed algorithm does not need any additional information besides the image under study.