Title :
Texture-Preserving Shadow Removal in Color Images Containing Curved Surfaces
Author :
Arbel, Eli ; Hel-Or, Hagit
Author_Institution :
Univ. of Haifa, Haifa
Abstract :
Several approaches to shadow removal in color images have been introduced in recent years. Yet these methods fail in removing shadows that are cast on curved surfaces, as well as retaining the original texture of the image in shadow boundaries, known as penumbra regions. In this paper, we propose a novel approach which effectively removes shadows from curved surfaces while retaining the textural information in the penumbra, yielding high quality shadow-free images. Our approach aims at finding scale factors to cancel the effect of shadows, including penumbra regions where illumination changes gradually. Due to the fact that surface geometry is also taken into account when computing the scale factors, our method can handle a wider range of shadow images than current state-of-the-art methods, as demonstrated by several examples.
Keywords :
geometry; image colour analysis; image texture; color images; curved surfaces; image quality; penumbra regions; shadow boundaries; shadow-free image; surface geometry; texture-preserving shadow removal; Color; Computational geometry; Computer science; Image segmentation; Integral equations; Layout; Lighting; Pixel; Surface texture; Testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2007.383081