IMAGE ENHANCEMENT USING LOGARITHMIC IMAGE PROCESSNING (LIP)

Oiki Wong and Benjamin Weisenbeck

Abstract

This project implements an image enhancement algorithm that is based on 
a logarithmic image processing model proposed by Deng [2]. This 
algorithm is a new implementation of Lee's image enhancement algorithm 
and is based on a mathematical structure for logarithmic image 
processing developed by Jourlin and Pinoli [5]. This technique is 
capable of simultaneously enhancing both the overall contrast and the 
sharpness of the image. We will investigate the effects of each 
parameter on the enhanced image and compare the results obtained by 
this method with the traditional histogram processing method for both 
clean and noisy images. 

Appendix IV: References

[1]     J.S. Lee, "Digital Image Enhancement and Noise Filtering by Use 
of Local Statistics," IEEE Trans. Pattern Anal. Machine Intell., vol. 
PAMI-2, pp165-168, Mar. 1980

[2]     G. Deng, L.W. Cahill, G.R. Tobin, "The Study of Logarithmic 
Image Processing Model and Its Application to Image Enhancement," IEEE 
Transaction on Image Processing, vol 4, pp 506-512, April 1995. 

[3]     Digital Image Processing, R.C.Gonzalez, and R.E Woods Addison-
Wesley Pub. Co., NY. (2nd Edition) 2002

[4]     Yingzi Du, "MATLAB GUI Tutorial", University of Stuttgart, 2004.
 < http://matlabdb.mathematik.uni-stuttgart.de/download.jsp?
MC_ID=5&MP_ID=252>

[5]     M. Jourlin and J.C. Pinoli, "A model for logarithmic image 
processing." J. Microscopy, vol. 149, pp. 21-35, Jan. 1988