Digital Image Contrast Enhancement Using Normalization Techniques


  • A. Pritha
  • D. Santhi Jestlet


scan line view, Threshold, SEB pixel level, color bleaching transform, pivoting transform, Histogram


An image is an 2-d rectilinear array of pixels.An image is an Two-Dimensional function f(x,y),where x and y are spatial co-ordinates called the intensity of the image.If x ,y and f are finite and discrete quantities,we call a image as Digital image .It is composed of pixels and has particular direction and value.This paper describes the methods of processing an image.Finally ,Background Normalization techniques are applied for normalizing pixel intensities of a gray scale document images and also two new approaches are proposed for increasing readability and preserving the original look.


N.Otsu “A threshold selection method from gray level histogram,",IEEE Transactions in Systems, Man, and Cybernetics, vol. 9, pp. 62{66, 1979.

P.JN Kapur and A.K.C Wong “A new method for gray-level picture thresholding using the entropy of the histogram," Computer Vision, Graphics, and Image Processing, by vol. 29, pp. 273{285, 1985.

J.Kittler and J.Illingworth “Minimum error thresholding," Pattern Recognition, ,vol. 19, no. 1, pp. 41{47, 1986.

C.A.B.Mello and R.D.Lins “Image segmentation of historical documents," in Visual2000, Mex-ico City, Mexico, September 2000.

Q.Wang and C.Tan “Matching of double-sided document images to remove interference" IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, USA, 2001.

W.Wang,T.Xia,L.Li and C.Tan “Document image enhancement using directional wavelet," in Proceedings of the 2003 IEEE Conference on Computer Vision and Pattern Recognition, Madison, Wisconsin, USA, June 2003.


How to Cite

Pritha, A., & Jestlet, D. S. (2017). Digital Image Contrast Enhancement Using Normalization Techniques. Asian Journal of Applied Sciences, 5(1). Retrieved from