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http://dx.doi.org/10.7780/kjrs.2012.28.5.8

A MTF Compensation for Satellite Image Using L-curve-based Modified Wiener Filter  

Jeon, Byung-Il (Department of Aerospace and Mechanical Engineering, Graduate School, Korea Aerospace University)
Kim, Hongrae (Department of Aerospace and Mechanical Engineering, Graduate School, Korea Aerospace University)
Chang, Young Keun (Department of Aerospace and Mechanical Engineering, Graduate School, Korea Aerospace University)
Publication Information
Korean Journal of Remote Sensing / v.28, no.5, 2012 , pp. 561-571 More about this Journal
Abstract
The MTF(Modulation Transfer Function) is one of quality assesment factors to evaluate the performance of satellite images. Image restoration is needed for MTF compensation, but it is an ill-posed problem and doesn't have a certain solution. Lots of filters were suggested to solve this problem, such as Inverse Filter(IF), Pseudo Inverse Filter(PIF) and Wiener Filter(WF). The most commonly used filter is a WF, but it has a limitation on distinguishing signal and noise. The L-curve-based Modified Wiener Filter(MWF) is a solution technique using a Tikhonov regularization method. The L-curve is used for estimating an optimal regularization parameter. The image restoration was performed with Dubaisat-1 images for PIF, WF, and MWF. It is found that the image restored with MWF results in more improved MTF by 20.93% and 10.85% than PIF and WF, respectively.
Keywords
MTF; MTF Compensation; WF(Wiener Filter); MWF(Modified Wiener Filter); Fermi Function; L-curve; Regularization;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Blonski, S., 2006. Spatial Resolution Characterization for AWiFs Multispectral Images, JACIE Civil Commercial Imagery Evaluation Workshop, Mar. 14-16.
2 Demers, D.D. and R.A. Stein, 1990. A Modified Wiener Filter for Restoration of Gated Nuclear Cardiac Images, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Nov. 1-Nov. 4, vol. 12, pp. 156-157.
3 Elisa, H. and B. Smith, 2006. PSF estimation by gradient descent fit to the ESF, Proc. SPIE 6059 - Image Quality and System Performance III, Jan. 15, vol. 6059, p. 60590E.
4 Er.Neha, G. and K. Er.Ajay, 2012. Remote Sensing Image Restoration Using Various Techniques: A Review, International Journal of Scientific and Engineering Research, 3(1): 1-6.
5 Hansen, P.C., 1992. Analysis of discrete ill-posed problems by means of the L-curve, Society for Industrial and Applied Mathematics, December, 34(4): 561-580.
6 Hwang, H., W. Park, and S. Kwak, 2011. MTF Assessment and Image Restoration Technique for Post-Launch Calibration of DubaiSat-1, Korean Journal of Remote Sensing, 27(5): 573-586.   DOI
7 Jain, A.K., 1989. Fundamentals of Digital Image Processing, London Prentice-Hall International, Inc., Upper Saddle River, Jew Jersey, USA.
8 Kang, C.-H. and H.-J. Choi, 2003. MTF Compensation for KOMPSAT-1 EOC Images, Spring Academic Conference Paper Collection 2003 of KAGIS, pp. 22-25.
9 Kim. S., J. Shin, and J. Park, 2003. Real-time iterative framework of regularized image restoration and its application to video enhancement, Real-Time Imaging, 9(1): 61-72.   DOI
10 Lavrent'ev, M.M., V.G. Romanov, and S.P. Shishat. Ski, 1986. Ill-posed problems of mathematical physics and analysis, American Mathematical Society, Providence, RI, USA.
11 Li, T., H. Feng, Z. Xu, X. Li, Z. Cen, and Q. Li, 2009. Comparison of different analytical edge spread function models for MTF calculation using curve-fitting, Proceeding of the SPIE, vol. 7498, pp. 74981H-1-74981H-8.
12 Saripan, M.I., M. Petrou, and K. Wells, 2005. A Comparative Study on Improving Image Resolution of the Multihole Collimator Gamma Camera modelled by the MCNPX code using the Wiener Filtering Technique, Proceedings of the 1st International Conference on Computers, Communications and Signal Processing, 14-16(1): 34-37.
13 Yin, F., M.L.. Giger, and K. Doi, 1990. Measurement of the presampling modulation transfer function of film digitizers using a curve fitting technique, Medical Physics, 17(6): 962-966.   DOI   ScienceOn
14 Tzannes, A.P. and J.M. Mooney, 1995. Measurement of the modulation transfer function of infrared cameras, Optical Engineering, 34(06): 1808-1817.   DOI
15 Wang, H.-Z., S. Zhao, and L.-W. LV., 2008. Super- Resolution Image Restoration with L-curve, 2008 Congress on Image and Signal Processing, May 27-30, vol. 3, pp. 597-601.
16 Wong, S.M., 2010. Modulation Transfer Function Compensation Through a Modified Wiener Filter for Spatial Image Quality Improvement, School of Computer Sciences, Malaysia.