“Shadow Removal from a Real Image Based on Shadow Density” by Baba, Mukunoki and Asada
Conference:
Type:
Entry Number: 060
Title:
- Shadow Removal from a Real Image Based on Shadow Density
Presenter(s)/Author(s):
Abstract:
Shadows are physical phenomena observed in most natural scenes. Since shadows and shades enhance the reality of images, many works on shadowing and shading have been done for realistic image generation. Shadows, however, often poses difficulties when using real images in image synthesis, because shadows imply the geometric relationship between objects, light source, and viewpoint. This means that real images including shadows are used for image synthesis only in a limited situation where the lighting condition is consistent with that of the real images [Sato et al. 1999].
This paper proposes a method to remove shadows from a real image based on the shadow density, which is defined as a measure of brightness. Using the shadow density, the image is segmented into several regions that have the same density, Then, we remove the shadows by modifying the brightness and color [Baba and Asada 2003]. Finally we show the experimental results of shadow removal in real images.
References:
1. Baba, M., and Asada, N. 2003. Shadow removal from a real picture. In Proceedings of the SIGGRAPH 2003 conference on Sketches & applications, ACM Press, 1–1.
2. Sato, I., Sato, Y., and Ikeuchi, K. 1999. Illumination distribution from brightness in shadows: Adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In ICCV (2), 875–882.
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