Abstract
Shadows and shadings are typical natural phenomena, which can often be found in images and videos acquired under strong directional lighting, such as those taken outdoors on a sunny day. Unfortunately, shadows can cause many difficulties in image processing and vision-related tasks, such like 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 real textured color images. The algorithm is based on the statistical property of textures in images. The experimental results on real-world data are shown to demonstrate this algorithm.
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