An Approach to Color Image enhancement Using Modified Histogram

P.Padmaja; U.Pavan Kumar

doi:https://doi.org/10.14445/22315381/IJETT-V4I9P187

Research Article | Open Access | Download PDF

Volume 4 | Issue 9 | Year 2013 | Article Id. IJETT-V4I9P187 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I9P187

An Approach to Color Image enhancement Using Modified Histogram

P.Padmaja , U.Pavan Kumar

Citation :

P.Padmaja , U.Pavan Kumar, "An Approach to Color Image enhancement Using Modified Histogram," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 9, pp. 4165-4172, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I9P187

Abstract

Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. In this paper a new technique is introduced to enhance color images with dim regions ,In this technique the lightness component in YIQ color space is transformed then the traditional histogram equalization (HE) method is applied on Y component. The result of modified histogram equalization (MHE) algorithm has been compared with the result of other method like Adaptive Integrated Neighborhood Dependent Approach for Nonlinear Enhancement of Color Images (AINDANE), traditional histogram equalization and Homomorphic Filtering. All algorithms have implemented using Matlab.

Keywords

Histogram equalization, Homomorphic Filtering, color space, nonlinear enhancement.

References

[1]. J.S.Lim, “Two - Dimensional Signal and Image Processing”, Prentice Hall , Englewood Cliffs, New J ersey, 1990.
[2]. Gonzales and R. E. Woods, "Digital Image Processing. Reading", MA: Addison - Wesley, 1987.
[3]. D.J.Jabson, Z.Rahman,G.A. Woodell, “Statistics of visual representation,” Proc.SPIE 4736, pp25 - 5, 2002.
[4]. V. Buzuloiu, M. Ciuc, R. M. Rangayyan, and C. Vertan, “Adaptive neighborhood histogram equalization of color images ” Journal of Electron Imaging, vol. 10, no. 2, pp. 445 - 459, 2001.
[5]. S. K. Naik, and C. A. Murthy, “Hue - preserving color image enhancement without gamut problem ” IEEE Trans . on image processing, vol.12 no. 12, pp. 1591 - 1598, Dec. 2003.
[6]. Li Tao, and V. K. Asari, “Adaptive and integrated Neighborhood dependent approach f or nonlinear Enhancement of color images ” Journal of Electron Imaging, vol. 14, no. 4, pp. 043006 - 1 - 043006 - 14, Dec. 2005.
[7]. Yu Wan, Qian Chen and Bao - Min Zhang.”Image Enhancement Based On Equal Area Dualistic Sub Image Histogram Equalization Method.” IEEE Transactions Consumer Electronics , February, 1999.
[8]. Young - tack Kim and Yong - Hun Cho, “Image Enhancing Method Using Mean - Separate Histogram Equalization”, United Stated Patent , Patent No.5, 963,665, Oct 5, 1999.
[9]. Yu Wan, Qian Chen and Bao - Min Zhang, “Image Enhancement Based on Equal Area Dualistic Sub Image Histogram Equalization Method”, IEEE Transactions on Consumer Electronics , vol.45,no.1,pp. 68 - 75, Feb. 1999.