Study and Analysis of Various Image Enhancement Method using MATLAB

Authors

  • Kushwaha S Electronics Engineering Department/Kamla Nehru Institute of Technology, Sultanpur/India
  • Kumar Singh R Electronics Engineering Department/Kamla Nehru Institute of Technology, Sultanpur/India

Keywords:

processing, Image enhancement, Matlab, Hue Transformation, Log transformation, Power Law Transformation

Abstract

The main objective of image enhancement is to process the input image so that the processed image will look much better. Image enhancement refers to accentuation, or sharpening of image features such as edges, boundaries, or contrast to make a graphic display more useful for display and analysis. It plays a vital role in every field. This paper covers two parts: first part is based to the study of various types of images and image enhancement and second part is based on analysis of various basic intensity transformation functions in image processing. All these analysis is performed in MATLAB software. We get various results in term of output images and their histograms respectively. Here we see that each transformation function is suitable for some particular applications, not for all. So, According to application requirement, we choose a particular transformation function for image enhancement.

References

Toet, A. (1992), “Multiscale color image enhancement,” Pattern Recognit. Lett., vol. 13, pp. 167–174.

Trahanias, P. E. and Venetsanopoulos, A. N. (1992), “Color image enhancement through 3-D histogram equalization,” in Proc. 15th IAPR Int. Conf. Pattern Recognition, vol. 1, pp. 545–548.

Mlsna, P. A. and Rodriguez, J. J. (1995), “A multivariate contrast enhancement technique for multispectral images,” IEEE Trans. Geosci. Remote Sensing, vol. 33, no. 1, pp. 212–216.

Yang, C. C. and Rodriguez, J. J. (1995), “Efficient luminance and saturation processing techniques for bypassing color coordinate transformations,” in Proc. IEEE Int. Conf. on Systems, Man, and Cybernetics, vol. 1, pp. 667–672.

Mlsna, P. A., Zhang, Q., and Rodriguez, J. J. (1996), “3-D histogram modification of color images,” Proc. IEEE Intl. Conf. Image Processing, vol. III, pp. 1015–1018.

Zhang, Q., Mlsna, P. A., and Rodriguez, J. J. (1996), “A recursive technique for 3-D histogram enhancement of color images,” Proc. IEEE Southwest Symp. On Image Analysis and Interpretation, pp. 218–223.

Thomas, B. A., Strickland, R. N., and Rodriguez, J. J. (1997), “Color image enhancement using spatially adaptive saturation feedback,” in Proc. IEEE Int. Conf. on Image Processing.

Berns, R. S., Billmeyer, F. W., and Saltzman, M. (2000), “Billmeyer and Saltzman’s Principles of Color Technology”, 3rd ed. New York: Wiley.

Yang, C. C. and Kwok, S. H. (2000), “Gamut Clipping in Color Image Processing”, IEEE, pp. 824-827.

Naik and Murthy, C. A. (2003), “Hue-Preserving Color Image Enhancement Without Gamut Problem” in THE IEEE transactions on image processing, vol. 12, no. 12, december pp.1591-159.

Chen, Soong-Der, and Rahman (2004), “Preserving brightness in histogram equalization based contrast enhancement techniques,” Digital Signal Processing, Vol 12, No.5, pp.413-428.

Sun, C. C. , Ruan, S. J., Shie, M. C., Pai, T. W. (2005), “Dynamic Contrast Enhancement based on Histogram Specification,” IEEE Transactions on Consumer Electronics, Vol. 51,No.4, pp.1300-1305.

Murtaza, Mashhood, Ahmad, Jahanzeb, and Usman (2006), “Efficient Generalized Colored image Enhancement”, IEEE, CIS.

Zhiming, WANG, and Jianhua, TAO (2007) “A Fast Implementation of Adaptive Histogram Equalization” 8th International Conference on Signal Processing.

Taguchi, Akira (2008), “Enhancement of MPEG/JPEG Images Based onHistogram Equalization Without Gamut Problem”, 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia/08), June 25-27, Muroran, JAPAN.

Kyung, Wang et. al. (2011), “Hue Preservation using Enhanced Integrated Multi-scale Retinex for Improved Color Correction”, Journal of Imaging Science and Technology, 55(1): 010504–010504-10.

Downloads

Published

2015-01-31

How to Cite

[1]
S. Kushwaha and R. Kumar Singh, “Study and Analysis of Various Image Enhancement Method using MATLAB”, Int. J. Comp. Sci. Eng., vol. 3, no. 1, pp. 15–20, Jan. 2015.

Issue

Section

Research Article