Overview on Single Image Shadow Removal Using Different Techniques
Namde Veena1 , Suhas B. Bhagate2 , Smita S. Darbastwar3
Section:Review Paper, Product Type: Journal Paper
Volume-6 ,
Issue-12 , Page no. 939-942, Dec-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i12.939942
Online published on Dec 31, 2018
Copyright © Namde Veena, Suhas B. Bhagate, Smita S. Darbastwar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Namde Veena, Suhas B. Bhagate, Smita S. Darbastwar, “Overview on Single Image Shadow Removal Using Different Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.939-942, 2018.
MLA Style Citation: Namde Veena, Suhas B. Bhagate, Smita S. Darbastwar "Overview on Single Image Shadow Removal Using Different Techniques." International Journal of Computer Sciences and Engineering 6.12 (2018): 939-942.
APA Style Citation: Namde Veena, Suhas B. Bhagate, Smita S. Darbastwar, (2018). Overview on Single Image Shadow Removal Using Different Techniques. International Journal of Computer Sciences and Engineering, 6(12), 939-942.
BibTex Style Citation:
@article{Veena_2018,
author = {Namde Veena, Suhas B. Bhagate, Smita S. Darbastwar},
title = {Overview on Single Image Shadow Removal Using Different Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {939-942},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3443},
doi = {https://doi.org/10.26438/ijcse/v6i12.939942}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.939942}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3443
TI - Overview on Single Image Shadow Removal Using Different Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Namde Veena, Suhas B. Bhagate, Smita S. Darbastwar
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 939-942
IS - 12
VL - 6
SN - 2347-2693
ER -
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Abstract
Shadow in the image degrades the quality of the image. So it is necessary to remove the shadow from the image. The detection of shadow and removal of the shadow from the images can be done through many different methods like reintegration method, cubic spline etc. The shadow in the image can be detected through user-assisted method that uses Support Vector Machine (SVM) and Markov Random Field (MRF) methods. Shadow from single image is removed using 3D intensity surface modelling to preserve texture without any loss in image. Using 3D intensity surface modelling method the accuracy can be increased i.e., the exact texture can be recovered in the shadow region after the shadow removal as compared to previous methods.
Key-Words / Index Term
Cartoon Image, Shadow Detection, 3D intensity surface modelling, Shadow Removal
References
[1] G.D Finlayson and S.D. Hordley, “On the removal of shadows from images”, IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, Jan 2006.
[2] E. Arbel and H. Hel-Or, “Shadow removal using intensity surfaces and texture anchor points”, IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 6, pp. 1202–1216, Jun. 2011.
[3] R. Guo, Q. Dai, and D. Hoiem, “Paired regions for shadow detection and removal”, IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 12, pp. 2956–2967, Dec. 2013.
[4] L. Zhang, Q. Zhang, and C. Xiao, “Shadow remover: Image shadow removal based on illumination recovering optimization”, IEEE Trans. Image Process., vol. 24, no. 11, pp. 4623–4636, Nov. 2015.
[5] Salman H. Khan, Mohammed Bennamoun, “Automatic Shadow Detection and Removal from a Single Image”, IEEE Trans. Pattern Anal. Mach. Intell., vol. 38, no. 3, march 2016.
[6] Kai He, Rui Zhen, Jiaxing Yan and YunfengGe “Single-Image Shadow Removal Using 3D Intensity Surface Modeling”, IEEE Transaction on Image Processing, Vol. 26, No. 12, DEC 2017, pp. 6046-6060.
[7] C. Cortes and V. Vapnik, “Support-vector networks”. Machine. Learning., vol. 20, no. 3, pp. 273–297, 1995.
[8] S. Z. Li, “Markov Random Field Modeling in Image Analysis”. New York, NY, USA: Springer-Verlag, 2001.