This paper presents a framework for efficient shadow –free image reconstruction from casually captured images. This research focuses the shadow restitution methodology from images and videos, to improve the scene visibility and understandability. The proposed hybrid technique combines the physical, geometric, textural, spatial and photometric features for shadow detection. Using feature importance statistics the appropriate criteria is chosen and applied. The experiments over wide benchmark dataset prove that the proposed hybrid technique outperforms peer research proposals with the expense of computational cost and time.

1. Serences, John T. , and Steven Yantis. "Selective visual attention and perceptual coherence. " Trends in Cognitive Sciences 10, no. 1 (2006): 38-45.
2. Pouli, Tania, Douglas W. Cunningham, and Erik Reinhard. "Image statistics and their applications in computer graphics. " Eurographics State of the Art Report, STAR (2010).
3. Finlayson, Graham D. , Steven D. Hordley, Cheng Lu, and Mark S. Drew. "On the removal of shadows from images. " Pattern Analysis and Machine Intelligence, IEEE Transactions on 28, no. 1 (2006): 59-68.
4. Arbel, Eli, and Hagit Hel-Or. "Shadow removal using intensity surfaces and texture anchor points. " Pattern Analysis and Machine Intelligence, IEEE Transactions on 33, no. 6 (2011): 1202-1216.
5. Eisemann, Elmar, Ulf Assarsson, Michael Schwarz, and Michael Wimmer. "Casting shadows in real time. " In ACM SIGGRAPH ASIA 2009 Courses, p. 21. ACM, 2009.
6. Joshi, Ajay J. , Stefan Atev, Osama Masoud, and Nikolaos Papanikolopoulos. "Moving shadow detection with low-and mid-level reasoning. " In Robotics and Automation, 2007 IEEE International Conference on, pp. 4827-4832. IEEE, 2007.
7. Soares, Luciano Pereira, José Miguel Salles Dias, Joaquim A. Jorge, Alberto Raposo, Bruno R. De Araújo, and Rafael Bastos. "Designing multi-projector VR systems: from bits to bolts. " In Eurographics 2010-Tutorials, edited by Maria Roussou, and Jason Leigh, pp. T1-undefined. The Eurographics Association, 2010.
8. Dee, Hannah M. , and Paulo E. Santos. "The perception and content of cast shadows: an interdisciplinary review. " Spatial Cognition & Computation 11, no. 3 (2011): 226-253.
9. Shehata, Mohamed S. , Jun Cai, Wael M. Badawy, Tyson W. Burr, Muzamil S. Pervez, Robert J. Johannesson, and Alireza Radmanesh. "Video-based automatic incident detection for smart roads: The outdoor environmental challenges regarding false alarms. " Intelligent Transportation Systems, IEEE Transactions on 9, no. 2 (2008): 349-360.
10. Prati, Andrea, Ivana Mikic, Rita Cucchiara, and M. Trivedi. "Comparative evaluation of moving shadow detection algorithms. " In IEEE CVPR workshop on Empirical Evaluation Methods in Computer Vision. 2001.
11. Prati, Andrea, Ivana Mikic, Costantino Grana, and Mohan M. Trivedi. "Shadow detection algorithms for traffic flow analysis: a comparative study. " In Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE, pp. 340-345. IEEE, 2001.
12. Jaynes, Christopher, Stephen Webb, R. Matt Steele, Michael Brown, and W. Brent Seales. "Dynamic shadow removal from front projection displays. " InProceedings of the conference on Visualization'01, pp. 175-182. IEEE Computer Society, 2001.
13. Amato, Ariel. "Environment-Independent Moving Cast Shadow Suppression in Video Surveillance", 2012.
14. Joshi, Ajay J. , Stefan Atev, Osama Masoud and Nikolaos Papanikolopoulos. "Moving shadow detection with low-and mid-level reasoning. " In Robotics and Automation, 2007 IEEE International Conference on, pp. 4827-4832. IEEE, 2007.
15. Muthukumar, Subramanyam, Ravi Subban, Nallaperumal Krishnan, and P. Pasupathi. "Real Time Insignificant Shadow Extraction from Natural Sceneries. " In Recent Advances in Intelligent Informatics, pp. 391-399. Springer International Publishing, 2013.
16. Hampapur, Arun, Lisa Brown, Jonathan Connell, Sharat Pankanti, Andrew Senior, and Yingli Tian. "Smart surveillance: applications, technologies and implications. " In Information, Communications and Signal Processing, 2003 and Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint Conference of the Fourth International Conference on, vol. 2, pp. 1133-1138. IEEE, 2003.
17. J. M. Scanlan, D. M. Chabries, and R. Christiansen, A shadow detection and Removal algorithm for 2-d images," in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), xpp. 2057-2060, 1990.
18. H. Jiang and M. S. Drew, Shadow-resistance tracking in video, In ICME'03:Intl. Conf. on Multimedia and Expo. pages III 77-80-2003.
19. Salvador, Elena. "Shadow segmentation and tracking in real-world conditions. " PhD diss. , Institut de traitement des signaux section d'électricité pour l'obtention du grade de docteur ès sciences par laurea in ingegneria elettronica, Università degli studi di Trieste, 2004.
20. Prati, Andrea, Ivana Mikic, Mohan M. Trivedi, and Rita Cucchiara. "Detecting moving shadows: algorithms and evaluation. " Pattern Analysis and Machine Intelligence, IEEE Transactions on 25, no. 7: 918-923, 2003.
21. Muthukumar, S. , et al. , Fuzzy information system based on image segmentation by using shadow detection, Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on. IEEE, 2010.
22. Al-Najdawi, Nijad, et al. , A survey of cast shadow detection algorithms, Pattern Recognition Letters 33. 6: 752-764, 2012.
23. Kundu, M. K. , and S. K. Pal. "Thresholding for edge detection using human psychovisual phenomena. " Pattern Recognition Letters 4, no. 6 (1986): 433-441.
24. J. -A. Beraldin et al. , Virtualizing a Byzantine crypt by combining highresolution textures with laser scanner 3D data, In Proceedings of the VMMS 2002, pages 3–14, September 2002.
25. Huerta, et al. , Detection and removal of chromatic moving shadows in surveillance scenarios, Computer Vision, 12th International Conference, IEEE, 2009.
26. Subban Ravi, Subramanyam Muthukumar and Pasupathi. P (2013): Image Restoration based on Scene Adaptive Patch In-painting for Tampered Natural Scenes, Recent Advances in Intelligent Informatics, Advances in Intelligent Systems and Computing, Vol. 235, Aug. 2013, pp. 65-72, Springer, LNAI, Switzerland, DoI: 10. 1007/978-3-319- 01778- 5_7, ISBN: 978-3-319-01778-5.
27. Muthukumar. S, Krishnan. N, Tulasi Nachiyar . K and Pasupathi . P (2011): Shadow Detection in an image using Fuzzy based Approach, International Journal on Information and Communication Technology, ISSN 0123-4560, DOI10. 5120/502-819, Feb. '11.
28. Hasenfratz, J-M. , et al. "A Survey of Real?time Soft Shadows Algorithms. " Computer Graphics Forum. Vol. 22. No. 4. Blackwell Publishing, Inc, 2003.
29. Zhu, Guangyu, et al. "Detecting video events based on action recognition in complex Scenes using spatio-temporal descriptor. " Proceedings of the 17th ACM international conference on Multimedia. ACM,2009.

Shadow Removal Shadow Detection Shadow Reconstruction De-shadowing Shadow Enhancement Hybrid Technique Texture Gradient Chromaticity Shadow Enhancement Image Reconstruction.