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A Study of Illumination at Diverse Environments

K. Akila, Dr. S. Chitrakala

Abstract


Both videos and images captured during various events play a vital role in information sharing amongst human race from olden days. The images and video captured under varied conditions such as lighting, shading etc., are classified under two major categories viz., controlled and uncontrolled environment. The clarity factor of such multimedia data are affected by factors such as lighting, weather or the equipments used to capture etc., Among various factors, illumination plays a major role in the clarity of videos and images. This paper attempts to enlist various illumination of video / image pertaining  to enhancement for various applications.


Keywords


Illumination; Enhancement; Contrast; Clarity/Visibility; Noise.

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References


S. O. Mundhada, “International Journal of Advanced Research in Image Enhancement and Its Various Techniques,” vol. 2, no. 4, pp. 370–372, 2012.

S. S. Bedi and R. Khandelwal, “Various Image Enhancement Techniques- A Critical Review,” Int. J. Adv. Res. Comput. Commun. Eng., vol. 2, no. 3, 2013.

A. Kotkar and S. S. Gharde, “Review of Various Image Contrast Enhancement,” vol. 2, no. 7, pp. 2786–2793, 2013.

Raju, G. Dwarakish, and D. V Reddy, “A State-of-the-Art and Comparative Analysis of Mean Brightness Preserving Histogram Equalization based Contrast Enhancement Techniques,” vol. 6, no. 5, pp. 1–11, 2013.

S. Srinivasan and N. Balram, “Adaptive contrast enhancement using local region stretching,” Conf. Pap. Oct., pp. 152–155, 2006.

R. Maini and H. Aggarwal, “A comprehensive review of image enhancement techniques,” arXiv Prepr. arXiv1003.4053, vol. 2, no. 3, pp. 8–13, 2010.

V. H. G. Virani, “Equalization of Image Histogram and Enhancement of the Image using Bi-Histogram Equalization and Neighborhood Metric,” vol. 2, no. 6, pp. 8–11, 2015.

Ramya and S. Subha Rani, “A Novel Method for the Contrast Enhancement of Fog Degraded Video Sequences,” Int. J. Comput. Appl., vol. 54, no. 13, pp. 1–5, 2012.

Z. Jia, H. Wang, and R. Caballero, “Real-time content adaptive contrast enhancement for see-through fog and rain,” IEEE Int. Conf. Acoust. Speech Signal Process. no. JANUARY, pp. 1378–1381, 2010.

Y. Rao, “Image-based fusion for video enhancement of night-time surveillance,” Opt. Eng., vol. 49, no. 12, p. 120501, 2010.

J. Lii, S. Zli, Q. Pani, and T. Yangi, “Illumination and Motion-Based Video Enhancement for Night Surveillance,” pp. 169–175, 2005.

M. P. H. Yawalkar and M. P. N. Pusdekar, “A Review on Low Light Video Enhancement Using Image Processing Technique,” Ijarcce, vol. 4, no. 1, pp. 134–136, 2015.

N. Simon and A. Kumar, “Contrast Enhancement of Color Images Using Improved Retinex Method,” pp. 279–285, 2014.

Weng Kin Lai and Li Li Lim, Illumination Analysis of Inactive Indoor Scenes with the Discrete Fourier Transform of Structural Distortions, International Journal of Signal Processing Systems Vol. 2, No. 1 June 2014.

W. K. Lai, B. K. Yeap, L. L. Lim, and T. H. Maul, “Analysis of artificially illuminated static indoor scenes,” in Proc. 5th International Conference on Graphic and Image Processing, Hong Kong, 2013.

Pallavi, Reecha Sharma, Study of the Nighttime Context Enhancement Algorithms, International Journal of Science and Modern Engineering (IJISME) ISSN: 2319-6386, Volume-1, Issue-6, May 2013.

Liu Lei, Piao Yan, Liu Xiaoyu, ―Enhancement of Nighttime Images for a Surveillance Camera‖ IEEE International Conference on System of Systems Engineering (SoSE), 2012.

Srinivas G. Narasimhan, Shree K Nayar"Removing Weather Effects from Monochrome Images." Proceedings of the IEEE Computer Society Coriference on Computer Vision and Pattern Recognition, pp. 186-193

Chirag Dhanani , Ashish Saxena A Comparative analysis on various Image Enhancement Techniques for Foggy images, International Journal of Advance Research in Computer Science and Management Studies.Vol.2, Isuue 12, Dec 2014

Matis Hudon, Paul Kerbiriou High speed sequential illumination with electronic rolling shutter cameras, IEEE Explore CVPR 2015


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