Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology

• Published in: Information Processing in Medical Imaging Vol. 24; pp. 613 - 625
• Main Authors: Duliu, Alexandru, Brosig, Richard, Ognawala, Saahil, Lasser, Tobias, Ziai, Mahzad, Navab, Nassir
• Format: Book Chapter Journal Article
• Language: English
• Published: Cham Springer International Publishing 2015
• Series: Lecture Notes in Computer Science
• Subjects: Adult; Aged; Algorithms; Bidirectional Reflectance Distribution Function; Color; Colorimetry - methods; Dermoscopy - methods; Discrete Cosine Transform; Female; Global Illumination; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Lighting - methods; Male; Middle Aged; Multispectral Image; Photometric Stereo; Psoriasis - pathology; Reproducibility of Results; Sensitivity and Specificity; Skin - pathology; Young Adult
• ISBN: 9783319199917; 3319199919
• ISSN: 0302-9743; 1011-2499; 1611-3349
• DOI: 10.1007/978-3-319-19992-4_48

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 multispectral 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 as 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.