Contrast Enhancement of Color Images with Color Morphing Approach
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32794
Contrast Enhancement of Color Images with Color Morphing Approach

Authors: Javed Khan, Aamir Saeed Malik, Nidal Kamel, Sarat Chandra Dass, Azura Mohd Affandi


Low contrast images can result from the wrong setting of image acquisition or poor illumination conditions. Such images may not be visually appealing and can be difficult for feature extraction. Contrast enhancement of color images can be useful in medical area for visual inspection. In this paper, a new technique is proposed to improve the contrast of color images. The RGB (red, green, blue) color image is transformed into normalized RGB color space. Adaptive histogram equalization technique is applied to each of the three channels of normalized RGB color space. The corresponding channels in the original image (low contrast) and that of contrast enhanced image with adaptive histogram equalization (AHE) are morphed together in proper proportions. The proposed technique is tested on seventy color images of acne patients. The results of the proposed technique are analyzed using cumulative variance and contrast improvement factor measures. The results are also compared with decorrelation stretch. Both subjective and quantitative analysis demonstrates that the proposed techniques outperform the other techniques.

Keywords: Contrast enhancement, normalized RGB, adaptive histogram equalization, cumulative variance.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1057


[1] Lee, C., et al., Power-constrained contrast enhancement for emissive displays based on histogram equalization. Image Processing, IEEE Transactions on, 2012. 21(1): p. 80-93.
[2] Gonzalez, R.C., Digital image processing. 2009: Pearson Education India.
[3] Pizer, S.M., et al. Adaptive histogram equalization for automatic contrast enhancement of medical images. in Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems (PACS IV) for Medical Applications. 1986. International Society for Optics and Photonics.
[4] Sundaram, M., et al., Histogram modified local contrast enhancement for mammogram images. Applied Soft Computing, 2011. 11(8): p. 5809-5816.
[5] Khan, J., et al. Recovery of color loss due to specular illumination in Acne patient images. in Biomedical Engineering and Sciences (IECBES), 2014 IEEE Conference on. 2014. IEEE.
[6] Bhutada, G., R. Anand, and S. Saxena, Edge preserved image enhancement using an adaptive fusion of images denoised by wavelet and curvelet transform. Digital Signal Processing, 2011. 21(1): p. 118-130.
[7] Saleem, A., A. Beghdadi, and B. Boashash, Image fusion-based contrast enhancement. EURASIP Journal on Image and Video Processing, 2012. 2012(1): p. 1-17.
[8] Polesel, A., G. Ramponi, and V.J. Mathews, Image enhancement via adaptive unsharp masking. IEEE transactions on image processing, 2000. 9(3): p. 505-510.
[9] Pizer, S.M., et al. Contrast limited adaptive histogram equalization: speed and effectiveness. in Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on. 1990. IEEE.
[10] Naik, S.K. and C. Murthy, Hue-preserving color image enhancement without gamut problem. Image Processing, IEEE Transactions on, 2003. 12(12): p. 1591-1598.
[11] Starck, J.-L., et al., Gray and color image contrast enhancement by the curvelet transform. Image Processing, IEEE Transactions on, 2003. 12(6): p. 706-717.
[12] Celik, T. and T. Tjahjadi, Automatic image equalization and contrast enhancement using Gaussian mixture modeling. Image Processing, IEEE Transactions on, 2012. 21(1): p. 145-156.
[13] Huang, S.-C., F.-C. Cheng, and Y.-S. Chiu, Efficient contrast enhancement using adaptive gamma correction with weighting distribution. Image Processing, IEEE Transactions on, 2013. 22(3): p. 1032-1041.
[14] Kim, T.K., J.K. Paik, and B.S. Kang, Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering. Consumer Electronics, IEEE Transactions on, 1998. 44(1): p. 82-87.
[15] Zuiderveld, K. Contrast limited adaptive histogram equalization. in Graphics gems IV. 1994. Academic Press Professional, Inc.
[16] Zhu, H., F.H. Chan, and F.K. Lam, Image contrast enhancement by constrained local histogram equalization. Computer Vision and Image Understanding, 1999. 73(2): p. 281-290.
[17] Kim, J.K., et al., Adaptive mammographic image enhancement using first derivative and local statistics. Medical Imaging, IEEE Transactions on, 1997. 16(5): p. 495-502.