title: Illumination Compensation and Normalization Using Low-Rank Decomposition of Multispectral Images in Dermatology.
abstract: 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.
authors.forename: Alexandru
authors.initials: A
authors.lastname: Duliu
authors.forename: Richard
authors.initials: R
authors.lastname: Brosig
authors.forename: Saahil
authors.initials: S
authors.lastname: Ognawala
authors.forename: Tobias
authors.initials: T
authors.lastname: Lasser
authors.forename: Mahzad
authors.initials: M
authors.lastname: Ziai
authors.forename: Nassir
authors.initials: N
authors.lastname: Navab
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D016477:Artifacts; D003116:Color; D003124:Colorimetry / Q000379:methods*; D046169:Dermoscopy / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008029:Lighting / Q000379:methods*; D008297:Male; D008875:Middle Aged; D011565:Psoriasis / Q000473:pathology*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012867:Skin / Q000473:pathology*; D055815:Young Adult