Image Restoration in Non-Linear Filtering Domain using MDB approach
This paper proposes a new technique based on nonlinear Minmax Detector Based (MDB) filter for image restoration. The aim of image enhancement is to reconstruct the true image from the corrupted image. The process of image acquisition frequently leads to degradation and the quality of the digitized image becomes inferior to the original image. Image degradation can be due to the addition of different types of noise in the original image. Image noise can be modeled of many types and impulse noise is one of them. Impulse noise generates pixels with gray value not consistent with their local neighborhood. It appears as a sprinkle of both light and dark or only light spots in the image. Filtering is a technique for enhancing the image. Linear filter is the filtering in which the value of an output pixel is a linear combination of neighborhood values, which can produce blur in the image. Thus a variety of smoothing techniques have been developed that are non linear. Median filter is the one of the most popular non-linear filter. When considering a small neighborhood it is highly efficient but for large window and in case of high noise it gives rise to more blurring to image. The Centre Weighted Mean (CWM) filter has got a better average performance over the median filter. However the original pixel corrupted and noise reduction is substantial under high noise condition. Hence this technique has also blurring affect on the image. To illustrate the superiority of the proposed approach, the proposed new scheme has been simulated along with the standard ones and various restored performance measures have been compared.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1076660Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2374
 A.K.Jain, "Fundamentals of Digital Image Processing", Engelwood Cliff, N. J.: Print ice Hall, 2006.
 T.S. Huang, G.J. Yang, And G.Y. Tang, "A Fast Two Dimensional Median Filtering Algorithm", IEEE Trans. On Accustics, Speech, Signal Processing, Vol. ASSP-27, No.1, Feb 1997.
 J.S.Lee,"Digital Image Enhancement and Noise Filtering by use of Local Statistics", IEEE Trans. On Pattern Analysis and. Machine Intelligence, Vol.PAMI-29, March,1980.
 E. Ataman, V.K. Aatre, and K.W. Wong, "Some Statistical Properties of Median Filters",,, IEEE Trans. On Acoustics, Speech, Signal Processing, Vol. ASSP-29, No.5, October, 1981.
 Pitas, and A.N. Vanetsanopoulas, "Non Linear Mean Filters In Image Processing", IEEE Trans. On Accustics, Spe.ech, Signal Processing, Vol.10, No.4, June 2006.
 G. Panda, B. Majhi and P.K. Dash, "Development of Efficient Filtering Technique for Image Data Corrupted by Impulse Noise", CSI 2004.S.E. Umbaugh, "Computer Vision and Image Processing: A Practical Approach", Englewood Cliffs, Nj Prantice-Hall, 1 998, pp. 151-193.
 H.A. David, "Order Statistics", Newyork Willy 1981.
 D. Brownrigg, "The Weighted Median Filter" Communication Association, pp. 807-993,Sept.1991.
 S.J. Kuo and Y.H. Lee, "Center Weighted Median Filters and Their Applications to. Image Enhancement", IEEE Trans. Circuit. Syst. Vol.38, pp.984-993, Sept.1991.
 Piotr S. Windyaga, "Fast Implusive Noise Removal", IEEE Trans. On Image Processing, Vol.1 0, No, 1, January 2001.
 J.Astola And P.Kuosmanen, "Fundamentals Of Nonlinear Digital Filtering", Boca Raton, FL: CRC, 1997.
 I.Pitas and A.N. Vanetsanopoulas. "Non Linear Digital Filters: and Applications", P.Ch. The Kluwer Academic Publishers.
 J.W. Tukley, "Explanatory Data Analysis", Addison-Wesley, 1977.
 W.K. Pratt, "Digital Image Processing", J.Wiley, 2008.
 H.A David, "Order Statistics", John- Wiley, 1981.
 P.S Hiber, "Robust Statistics", John Willey, 1981.
 L.R RCibiner, RW. Schafer, "Digital Processing Of Speech Signals", Prantice-Hall, 2006.
 H.C. Andrews, B.R. Hunt, "Digital Image Restoration", Prantice-Hall, 1997.
 RC. Gonzalilez, RE. Woods, "Digital Image Processing", Addision Wesley, 2008.
 H.Taub, D.L. Schilling, "Principles of Communication Systems", TMH, 1991.
 B.B. Choudhury, and D,Datta Majumdar, "Two-Tone Image Processing and recognition", Wiley Estern Limited, 1993.