Removing Shadows from Images Using Color and Near-infrared

Shadows often introduce errors in the performance of computer vision algorithms, such as object detection and tracking. This paper proposes a method to remove shadows from real images based on a probability shadow map. The probability shadow map identifies how much light is impinging on a surface. The lightness of shadowed regions in an image is increased and then the color of that part of the surface is corrected so that it matches the lit part of the surface. The result is compared with two other shadow removal frameworks. The advantage of our method is that after removal, the texture and all the details in the shadowed regions remain intact.


Published in:
Proc. IEEE International Conference on Image Processing (ICIP)
Presented at:
IEEE International Conference on Image Processing (ICIP), Brussels, Belgium
Year:
2011
Publisher:
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa
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 Record created 2011-09-22, last modified 2018-03-17

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