Texture-Based Shadow Removal from a Single Color Image

Authors:
Qiang He;Chee-Hung Henry Chu
Affiliations:
Department of Mathematics, Computer and Information Sciences, Mississippi Valley State University, Itta Bena MS 38941;The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA 70504-4330
Venue:
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Year:
2008

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Abstract

Shadows can often be found in images and videos acquired under strong directional lighting, such as those taken outdoors on a sunny day. Shadows can cause many difficulties in image processing and vision-related tasks, such as image segmentation and object recognition. Therefore, shadow removal is needed for improving the performance of these image understanding tasks. We present a new shadow removal algorithm for a singe texture color image. Intra-image textures are popular and frequently influenced by shadow. Through intra-image texture matching and deconvolution on derivative maps of original image with zero values set in shadow edge positions, we can recover shadow free images. The experimental results on real-world data show good performance of this algorithm.