{"title":"Enhanced Approaches to Rectify the Noise, Illumination and Shadow Artifacts","authors":"M. Sankari, C. Meena","volume":82,"journal":"International Journal of Computer and Information Engineering","pagesStart":1364,"pagesEnd":1373,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/9997167","abstract":"
Enhancing the quality of two dimensional signals is one of the most important factors in the fields of video surveillance and computer vision. Usually in real-life video surveillance, false detection occurs due to the presence of random noise, illumination
\r\nand shadow artifacts. The detection methods based on background subtraction faces several problems in accurately detecting objects in realistic environments: In this paper, we propose a noise removal algorithm using neighborhood comparison method with thresholding. The illumination variations correction is done in the detected foreground objects by using an amalgamation of techniques like homomorphic decomposition, curvelet transformation and gamma adjustment operator. Shadow is removed using chromaticity estimator with local relation estimator. Results are compared with the existing methods and prove as high robustness in the video surveillance.<\/p>\r\n","references":"[1] Anthony R. Dick and Michael J. Brooks, \u201d Issues in Automated Visual Surveillance\u201d, DICTA 2003, Sydney, pp. 195-204. 2003.\r\n[2] Hu, W., Tan, T., Wang, L. and Maybank, S. \u201dA Survey on Visual Surveillance of Object Motion and Behaviors\u201d, IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews, Vol. 34, No. 3, pp. 334-352, 2004.\r\n[3] Shah, M., Javed, O. and Shafique, K., \u201dAutomated visual surveillance in realistic scenarios\u201d, IEEE MultiMedia, Vol.14, Issue 1, pp.30-39, 2007.\r\n[4] Agaian, S.S., Silver, B. and Panetta, K.A., \u201dTransform coefficient histogram-based image enhancement algorithms using contrast entropy\u201d, IEEE transactions on Image Processing, Vol. 16, No.3, pp. 741-758, 2007.\r\n[5] Ovsenik, C., Turan, J. and Kolesarova, A.K., \u201dVideo surveillance systems with optical correlator\u201d Proceedings of the 34th International Convention on MIPRO, pp. 227-230, 2011.\r\n[6] Sohn, H., De Neve, W. and Ro, Y.M., \u201dPrivacy Protection in Video Surveillance Systems: Analysis of Subband-Adaptive Scrambling in JPEG XR\u201d, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 21, Issue 2, pp. 1170-177, 2011.\r\n[7] Tinku Acharya, Ajoy K.Ray, \u201d Image processing: principles and applications\u201d, John Wiley & Sons, Inc, pp.79-104. 2005.\r\n[8] A. Levin, R. Fergus, R. Fergus, F. Durand, and W. T. Freeman, \u201dImage and depth from a conventional camera with a coded aperture\u2019, ACM SIGGRAPH, Vol.26, Issue 3, July 2007.\r\n[9] A. Veeraraghavan, R. Raskar, A. Agrawal, A. Mohan, and J. Tumblin, \u201dDappled photography: Mask enhanced cameras for heterodyned light fields and coded aperture refocusing\u201d In ACM SIGGRAPH, 2007.\r\n[10] Pizurica, A., Zlokolica, V. Philips, W. \u201dCombined wavelet domain and temporal denoising\u201d, In Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Miami, FL., USA, pp. 334-341, July 2003.\r\n[11] Scharcanski, J., Jung, C.R., Clarke, R.T. \u201dAdaptive Image Denoising Using Scale and Space Consistency,\u201d IEEE Trans. Image Process. Vol.11, No. 9, pp. 1092-1101, 2002.\r\n[12] P.L. Rosin, and T. Ellis, \u201dImage difference threshold strategies and shadow detection,\u201d in Proc. Sixth British Machine Vision Conference Birmingham (UK), pp. 347-356, July 1995.\r\n[13] G. Attolico, P. Spagnolo, A. Branca, and A. Distante, \u201dFast background modeling and shadow removing for outdoor surveillance,\u201d in Proc. Third IASTED International Conference VIIP Malaga (Spain), pp. 668-671, September 2002.\r\n[14] G.D. Finlayson, S.D. Hordley, and M.S. Drew, \u201dRemoving shadows from images,\u201d in Proc. Seventh European Conference on Computer Vision - Part IV Copenaghen (Denmark), pp. 823-836, May 2002.\r\n[15] Huaiqiang Liu, Feng Guo, \u201dShadow Elimination Method for Video Surveillance\u201d, Modern Applied Science, www.ccsenet.org\/journal .html, Vol. 3. No7pp 78-85, July 2009.\r\n[16] Yashpal Singh, Pritee Gupta, Vikram S Yadav, \u201d Implementation of a Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications\u201d, IJCSNS International Journal of Computer Science and Network Security, Vol.10, No.3, pp 136-143, March 2010. ","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 82, 2013"}