Image Enhancement Using Adaptive Filtering
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : U.Pavan Kumar , P.Padmaja|
U.Pavan Kumar , P.Padmaja. "Image Enhancement Using Adaptive Filtering". International Journal of Engineering Trends and Technology (IJETT). V6(1):1-4 Dec 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
In this paper, we develop an image enhancement algorithm that modifies the local luminance mean of an image and controls the local contrast as a function of the local luminance mean of the image. The algorithm first separates an image into its lows (low pass filtered form) and highs (high pass filtered form) components. The lows component then controls the amplitude of the highs component to increase the local contrast. The lows component is then subjected to a non linearity to modify the local luminance mean of the image and is combined with the processed highs component. The performance of this algorithm when applied to enhance typical undegraded images, images with large shaded areas, and also images degraded by cloud cover will be illustrated by way of examples
 Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing. Addison Wesley Publishing Company, 1992, chapter 4.
 W.K. Pratt, Digital Image Processing,(John Wiley and Sons, 1978).
 H.C. Andrews, B.R. Hunt,Digital Image Restoration, (Prentice—Hall,Englewood Cliffs, NJ 1977).
 Tarek A. Mahmoud, Stephen Marshall, “Medical Image Enhancement Using Threshold Decomposition Driven Adaptive Morphological Filter”, 16th European Signal Processing Conference (EUSIPCO 2008), R.Sharmila, R. Uma, “A New Approach To Image Contrast Enhancement using Weighted Threshold Histogram Equalization with Improved Switching Median Filter”, International Journal Of Advanced Engineering Sciences and Technologies Vol No. 7, No. 2, 2011, P. 206 – 211.
 H.D. Cheng, Huijuan Xu, “A novel fuzzy logic approach to contrast enhancement”, Pattern Recognition, Vol. 33, 2000, P.809-819.
 Gerard J. Tortora, B.H.D., Principles of Anatomy and Physiology, 11th Edition. April 2005: John Wiley & Sons Inc.
 Zhou Wang, Alan.C. Bovik, “ A Universal Quality Index”, IEEE Signal Processing Letters,Vol. 20, 2002,P. 1-4.
 Lee, J.M. and F.H. Fu, The meniscus: Basic science and clinical applications. Operative Techniques in Orthopaedics, 2000. 10(3): p. 162-168.
 Ashton, E., Method and system for automatic identification and quantification of abnormal anatomical structures in medical images, U.P.a.T. Office, Editor. 2004, VirtualScopics, LLC: USA.
 Oatridge, A., et al., Magnetic resonance: Magic angle imaging of the Achilles tendon. Lancet, 2001. 358(9293): p. 1610-1611.
Image enhancement, Low pass filter, Contrast, Non-Linearity, Adaptive Filter.