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Texture-Based Shadow Removal from a Single Color Image

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Advances in Visual Computing (ISVC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5359))

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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.

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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