Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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A. Duliu, R. Brosig, S. Ognawala, T. Lasser, M. Ziai, N. Navab
Illumination Compensation and Normalization using Low-Rank Decomposition of Multispectral Images in Dermatology
Information Processing in Medical Imaging (IPMI 2015), Isle of Skye, Scotland, June 2015 (bib)

When attempting to recover the surface color from an image, modelling the illumination contribution per-pixel is essential. In this work we present a novel approach for illumination compensation using multi-spectral image data. This is done by means of a low-rank decomposition of representative spectral bands with prior knowledge of the reflectance spectra of the imaged surface. Experimental results on synthetic data, as well on images of real lesions acquired at the university clinic, show that the proposed method significantly improves the contrast between the lesion and the background.
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