NDLI: Shadow Removal Using Bilateral Filtering

Content Provider	IEEE Xplore Digital Library
Author	Qingxiong Yang Kar-Han Tan Ahuja, N.
Copyright Year	1992
Abstract	In this paper, we propose a simple but effective shadow removal method using a single input image. We first derive a 2-D intrinsic image from a single RGB camera image based solely on colors, particularly chromaticity. We next present a method to recover a 3-D intrinsic image based on bilateral filtering and the 2-D intrinsic image. The luminance contrast in regions with similar surface reflectance due to geometry and illumination variances is effectively reduced in the derived 3-D intrinsic image, while the contrast in regions with different surface reflectance is preserved. However, the intrinsic image contains incorrect luminance values. To obtain the correct luminance, we decompose the input RGB image and the intrinsic image. Each image is decomposed into a base layer and a detail layer. We obtain a shadow-free image by combining the base layer from the input RGB image and the detail layer from the intrinsic image such that the details of the intrinsic image are transferred to the input RGB image from which the correct luminance values can be obtained. Unlike previous methods, the presented technique is fully automatic and does not require shadow detection.
Sponsorship	IEEE Signal Processing Society
Page Count	8
File Size	787866
Starting Page	4361
Ending Page	4368
File Format	PDF
ISSN	10577149
Volume Number	21
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Image color analysis Lighting Equations Image edge detection Surface treatment Joints intrinsic image Bilateral filter chromaticity
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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