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.
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© 2008 Springer-Verlag Berlin Heidelberg
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He, Q., Chu, CH.H. (2008). Texture-Based Shadow Removal from a Single Color Image. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2008. Lecture Notes in Computer Science, vol 5359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89646-3_63
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DOI: https://doi.org/10.1007/978-3-540-89646-3_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89645-6
Online ISBN: 978-3-540-89646-3
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