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SAR Image Enhancement Using GUM Algorithm

Varsha Guru, Shailendra Singh Pawar

Abstract


In the applications like SAR images, medical radiography, enhancing movie features and observing the planets it is necessary to enhance the contrast and sharpness of an image. We propose a generalized unsharp masking (GUM) algorithm using the exploratory data model as a unified framework. The proposed algorithm is designed to address three issues: 1) simultaneously enhancing contrast and sharpness by means of individual treatment of the model component and the residual, 2) reducing the halo effect by means of an edge-preserving filter, and 3) solving the out of range problem by means of log ratio and tangent operations. Using this algorithm user can adjust the two parameters the contrast and sharpness to have desired output. This report presents two methods for image enhancement. One method is adaptive unsharp masking. Its objective is to emphasize the medium-contrast details in the input image more than large-contrast details. Another method’s objective is to smooth the uniform area and sharpen the borders between them. Image Enhancement transforms images to provide better representation of the subtle details. It is an indispensable tool for researchers in a wide variety of fields including, SAR images, medical imaging, art studies, forensics and atmospheric sciences.

Keywords


Generalized Linear System, Image Enhancement, SAR Image, Unsharp Masking.

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References


A.K. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall; 1989

Gonzalez R., Woods R. ―Digital Image Processing‖ 2/E, Prentice Hall Publisher, 2002.

K. Teddy, "Fingerprint Enhancement by Spectral Analysis Techniques", Proceeding IEEE Conf. on Applied Imagery Pattern Recognition Workshop, Washington DC, USA, 16-17 Oct 2002, pp. 133-139.

S. Greenberg, M. Aladjem, and D. Kogan, ―Fingerprint Image Enhancement using Filtering Techniques‖, Proceeding IEEE Conf. on Pattern Recognition, 3 Sep 2000, vol. 3, pp. 322-325.

Z. Abu-Faraj, A. Abdallah, K. Chebaklo, and E. Khoukaz, "Fingerprint Identification Software for Forensic Applications", Proceeding 7th IEEE Conf. on Electronics, Circuits and Systems, Jounieh, Lebanon, Dec 2000, vol. 1, pp. 299-302.

D. W. Armitage, and J. P. Oakley, "Noise Levels in Colour Image Enhancement", Proceeding IEEE Conf. in Visual Inform. Eng., London, UK, July 2003, pp. 105-108.

J. M. Buckingham, and J. Bailey, "Imagery Enhancement to Meteorological Collection Platform", Proceeding IEEE Conf. on Syst. and Inform. Eng. Design Symposium, Charlottesville, VA, April 2003, pp. 275-281.

G. Woodell, D. Jobson, Z. u. Rahman, and G. Hines, "Advanced Image Processing of Aerial Imagery", Proceeding of the Visual Information Processing, SPIE, vol. 6246, Kissimmee, FL, May 2006, pp. 62460E.

R. Vorobel, "Contrast Enhancement of Remotely-Sensed Images", Proceeding 6th IEEE Conf. on Mathematical Methods in Electromagnetic Theory, Lviv, Ukraine, Sept 1996, pp. 472-475.

L. W. Cahill and G. Deng. , ―An Overview of Logarithm-Based Image Processing Techniques for Biomedical Applications‖, Proc. IEEE Conference in Digital Signal Processing, 1997, pp. 93—96.

M. Jourlin, J. C. Pinoli. , ―Logarithmic Image Processing; The Mathematical and Physical Framework for the Representation and Processing of Transmitted Images‖, Advances in Imaging and Electron Physics, 2001,vol. 115, pp. 129-196.

Feeley, T. H. 2002. Comment on halo effects in rating and evaluation research. Human Comm. Res. 28(4) 578–586.

Guang Deng, ‖A Generalized Unsharp Masking Algorithm‖, IEEE Transaction on Image Processing, vol. 20(5), may 2011.

M. Jourlin, J. C. Pinoli. , ―Logarithmic Image Processing; The Mathematical and Physical Framework for the Representation and Processing of Transmitted Images‖, Advances in Imaging and Electron Physics, 2001, vol. 115, pp. 129-196.

J. C. Pinoli., ―A General Comparative Study of the Multiplicative Homomorphic, Log-Ratio, and Logarithmic Image Processing Approaches‖, Journal in Signal Processing, 1997, vol. 58(1), pp. 11-45.

M. Jourlin and J. C. Pinoli. , ―A Model for Logarithmic Image Processing‖, Journal of Microscopy, July 1989, vol. 149, pp. 21-35.

Y.H. Lee and S.Y. Park, "A Study of Convex/Concave Edges and Edge-Enhancing Operators Based on the Laplacian", IEEE Trans. on Circuits and Systems, vol.37, July 1990, pp. 940-946.

D. Marr, Vision: A Computational Investigation into the Human Repre- sentation and Processing of Visual Information. San Francisco, CA: Freeman, 1982.

D. G. Myers, Digital Signal Processing Efficient Convolution and Fourier Transform Technique. Upper Saddle River, NJ: Pren- tice-Hall, 1990

J. W. Tuckey, "Exploratory Data Analysis."(Addison-Wesley, Reading MA, 1977), pp. 688.

T.K. Kim, J.K. Paik, B.S. Kang, ―Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering‖, IEEE Trans. on Consumer Electronics, 1998,vol. 44(1), pp. 82–86.

A Generalized Linear System For Enhanceing Sharpness And Contrast of An Image International Conference on Electronics and Communication Engineering, April 28th-29th, 2012, Vizag, ISBN: 978-93-81693-56-8.

An Enhancement of Medical Images using Classical Unsharp Mask Filter and Log Gabor Filter IJIET Vol. 2 Issue 3 June 2013 ISSN: 2319-1058.


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