Image Restoration Technique for Fog Degraded Image
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-18 Number-5 |
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| Year of Publication : 2014 | ||
| Authors : Sheelu Mishra, Mrs. Tripti Sharma | ||
| DOI : 10.14445/22312803/IJCTT-V18P146 |
Sheelu Mishra, Mrs. Tripti Sharma "Image Restoration Technique for Fog Degraded Image". International Journal of Computer Trends and Technology (IJCTT) V18(5):208-213, Dec 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
This Research paper involves Image restoration and Image Enhancement technique which will be used for restoring the clear image from a fog degraded image. Image Restoration is an area that deals with improving the appearance of an image. Restoration techniques tend to be based on mathematical or probabilistic models of image degradation. And Image enhancement is an area which deals with improving the quality measure of image. To improve image quality, image enhancement can selectively enhance and restrain some information about image. It is a method which decreases image noise, eliminate artifacts, and maintain details. Its purpose is to amplify certain image features for analysis, diagnosis and display. The overall objective of this paper is to propose an integrated technique which will integrate the nonlinear enhancement technique with the gamma correction and dynamic restoration technique.
References
[1] Digital image processing by Rafael C. Gonzalez and Richards E. Woods.
[2]K. Garg, and S.K. Nayar, "Vision and Rain", International Journal of Computer Vision, Vol. 75, no. 1, pp. 3-27, 2007.
[3] Digital image processing using matlab by Rafael C. Gonzalez and Richards E. Woods and Eddins.
[4] Ms Munira A Jiwani, Mr.S.N.Dandare, “Single Image Fog Removal Using Depth Estimation Based On Blur Estimation”, International Journal of Scientific and Research Publications, Volume 3, Issue 6, June 2013 5 ISSN 2250-3153.
[5] JyotiSahu, “Design a New Methodology for Removing Fog from the Image”,International Journal of Advanced Computer Research (ISSN (print): 2249- 7277 ISSN (online): 2277-7970) Volume-2 Number-4 Issue-7 December-2012.
[6] Dubok Park, HanseokKo, “Fog-degraded image restoration using characteristics of RGB channel in single monocular image ” , 2012 IEEE International Conference on Consumer Electronics (ICCE).
[7] Raghvendrayadav, Manoj alwani, “Enhancement of fog degraded images on the Basis of histogram classification”, LATEST TRENDS on COMPUTERS (Volume II).
[8] Dongjun Kim , ChangwonJeon , Bonghyup Kang, HanseokKo, “Enhancement of Image Degraded by Fog Using Cost Function Based on Human Visual Model” , Multisensor Fusion and Integration for Intelligent Systems, IEEE International Conference on August 2008.
[9] S.G. Narasimhan, and S.K. Nayar, "Contrast restoration of weather degraded images", IEEE transaction on pattern analysis and machine intelligence, Vol. 25, no. 6, June. 2003, pp. 713-24.
[10] K. He, J. Sun, and X. Tang, "Single image haze removal using dark channel prior", IEEE International Conference on Computer Vision and Pattern Recognition, 2009, pp. 1956-63
[11] S.G. Narasimhan, and S.K. Nayar, "Removing weather effects from monochrome images", International conference on computer vision and pattern recognition, 2001, pp. 186-93.
[12] G. Narasimhan, and S.K. Nayar, "Interactive (De) weathering of an image using physical models", IEEE Workshop on color and photometric methods in computer vision, in conjunction with ICCV, Oct. 2003.
[13] R.T. Tan, "Visibility in bad weather from a single image", IEEE conference on Computer Vision and Pattern Recognition, 2008, pp. 18.
[14] R. Fattal, "Single image dehazing", International Conference on Computer Graphics and Interactive Techniques archive ACM SIGGRAPH, 2008, pp. 1-9.
[15] S.K. Nayar, and S.G. Narasimhan, "Vision in bad weather", IEEE International Conference on Computer Vision (ICCV), Vol. 2, 1999, pp.820-7.
[16] S G. Narasimhan, and S.K. Nayar, "Vision and the Atmosphere", International Journal of Computer Vision, Vol. 48, no. 3, pp. 233-54, 2002.
[18] www.google.com , last reference date 22 January 2014.
[19] Wikipedia.
[20] Changwon Jeon, Dubok Park and Hanseok Ko, “Fog-degraded Image Enhancement Using Two Images of Same Scene with Time Difference”, pp. 305-307.
Keywords
Image Restoration, Image Enhancement, Image Degradation.