DocumentCode :
3494396
Title :
Removing shadows from a single real-world color image
Author :
Yao, Kang ; Dong, Junyu
Author_Institution :
Dept. of Comput. Sci. & Technol., Ocean Univ. of China, Qingdao, China
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
3129
Lastpage :
3132
Abstract :
In this paper, we propose a new algorithm to remove shadow from a single color image. We first project log-log chromaticity coordinates onto an angle of illumination-invariant direction to obtain an illumination independent grayscale image. Then color information is added back by comparing intensities in the original and illumination-invariant grayscale images, and taking both global tonality and pixel-wise color into account. Finally, the result color image without shadow is recovered. The proposed method simplifies the color restoration procedure and therefore requires much less computation. Experimental results show that the new method can produce shadow-free images with same quality as those shown in previous work.
Keywords :
image colour analysis; color restoration; illumination independent grayscale image; illumination-invariant direction; illumination-invariant grayscale images; pixel-wise color; project log-log chromaticity; shadow-free images; single real-world color image; Cameras; Color; Computer science; Gray-scale; Image edge detection; Image restoration; Layout; Lighting; Pixel; Reflectivity; Shadow removal; color restoration; illumination invariance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414436
Filename :
5414436
Link To Document :
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