A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement

Histogram Equalization is a contrast enhancement technique in the image processing which uses the histogram of image. However histogram equalization is not the best method for contrast enhancement because the mean brightness of the output image is significantly different from the input image. There are several extensions of histogram equalization has been proposed to overcome the brightness preservation challenge. Contrast enhancement using brightness preserving bi-histogram equalization (BBHE) and Dualistic sub image histogram equalization (DSIHE) which divides the image histogram into two parts based on the input mean and median respectively then equalizes each sub histogram independently. This paper provides review of different popular histogram equalization techniques and experimental study based on the absolute mean brightness error (AMBE), peak signal to noise ratio (PSNR), Structure similarity index (SSI) and Entropy.

[1]  Abd. Rahman Ramli,et al.  Minimum mean brightness error bi-histogram equalization in contrast enhancement , 2003, IEEE Trans. Consumer Electron..

[2]  Abd. Rahman Ramli,et al.  Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation , 2003, IEEE Trans. Consumer Electron..

[3]  Yeong-Taeg Kim,et al.  Contrast enhancement using brightness preserving bi-histogram equalization , 1997 .

[4]  Rabab Kreidieh Ward,et al.  Fast Image/Video Contrast Enhancement Based on Weighted Thresholded Histogram Equalization , 2007, IEEE Transactions on Consumer Electronics.

[5]  S. Pizer,et al.  An evaluation of the effectiveness of adaptive histogram equalization for contrast enhancement. , 1988, IEEE transactions on medical imaging.

[6]  Myung-Ryul Choi,et al.  A contrast enhancement method using dynamic range separate histogram equalization , 2008, IEEE Transactions on Consumer Electronics.

[7]  David Menotti,et al.  Multi-Histogram Equalization Methods for Contrast Enhancement and Brightness Preserving , 2007, IEEE Transactions on Consumer Electronics.

[8]  M. Ali Akber Dewan,et al.  A Dynamic Histogram Equalization for Image Contrast Enhancement , 2007, IEEE Transactions on Consumer Electronics.

[9]  Stephen M. Pizer,et al.  The Medical Image Display and Analysis Group at the University of North Carolina: Reminiscences and philosophy , 2003, IEEE Transactions on Medical Imaging.

[10]  M RezaAli,et al.  Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement , 2004 .

[11]  José L. Pérez-Córdoba,et al.  Histogram equalization of speech representation for robust speech recognition , 2005, IEEE Transactions on Speech and Audio Processing.

[12]  Min Gyo Chung,et al.  Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement , 2008, IEEE Transactions on Consumer Electronics.

[13]  Ali M. Reza,et al.  Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for Real-Time Image Enhancement , 2004, J. VLSI Signal Process..

[14]  Abdul Wahab Abdul Rahman.  Novel approach to automated fingerprint recognition , 1998 .

[15]  Haidi Ibrahim,et al.  Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement , 2007, IEEE Transactions on Consumer Electronics.

[16]  Y. Y. Tan,et al.  Recursive sub-image histogram equalization applied to gray scale images , 2007, Pattern Recognit. Lett..

[17]  Guillermo Sapiro,et al.  Shape preserving local contrast enhancement , 1997, Proceedings of International Conference on Image Processing.

[18]  Qian Chen,et al.  Image enhancement based on equal area dualistic sub-image histogram equalization method , 1999, IEEE Trans. Consumer Electron..

[19]  Azriel Rosenfeld,et al.  Computer vision and image processing , 1992 .

[20]  Chao Wang,et al.  Brightness preserving histogram equalization with maximum entropy: a variational perspective , 2005, IEEE Transactions on Consumer Electronics.

[21]  Lee-Sup Kim,et al.  An advanced contrast enhancement using partially overlapped sub-block histogram equalization , 2001, IEEE Trans. Circuits Syst. Video Technol..