An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving

Jing Rui Tang, Nor Ashidi Mat Isa


This paper modifies the Adaptive Contrast Enhancement Algorithm
with Details Preserving (ACEDP) technique by integrating a fuzzy element in
the image type selection. The proposed technique, named the Adaptive Fuzzy
Contrast Enhancement with Details Preserving (AFCEDP) technique, first
computes the degree of membership of the input image to three categories, i.e.
low-, middle- or high-level images. The AFCEDP technique then clips the
histogram at different plateau limits that are computed from both the degree of
membership and the clipping functions. The classification of an image in the
ACEDP technique is done based solely on the intensity range of the maximum
number of pixels, which may be inaccurate. In the proposed AFCEDP technique,
the image type classification is handled in a better way with the integration of a
fuzzy element. The performance of the proposed AFCEDP technique was
compared with the conventional ACEDP technique and several state-of-art
techniques described in the literature. The simulation results revealed that the
AFCEDP technique demonstrates good capability in contrast enhancement and
detail preservation. In addition, the experiments using cervical cell images and
HEp-2 cell images showed great potential of the AFCEDP technique as a
technique for enhancing medical microscopic images.

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Gonzalez, R.C. & Woods, R.E., Digital Image Processing, 2nd ed., New Jersey: Prentice Hall, 2002.

Yu, W., Qian, C. & Baeomin, Z., Image Enhancement based on Equal Area Dualistic Sub-image Histogram Equalization Method, IEEE

Transactions on Consumer Electronics, 45(1), pp. 68-75, 1999.

Zhu, Y. & Huang, C., Histogram Equalization Algorithm for Variable

Gray Level Mapping, 8th World Congress on Intelligent Control and

Automation (WCICA), pp. 6022-6025, 2010.

Abdullah-Al-Wadud, M., Kabir, M.H., Dewan, M.A.A. & Oksam, C., A

Dynamic Histogram Equalization for Image Contrast Enhancement,

IEEE Transactions on Consumer Electronics, 53(2), pp. 593-600, 2007.

Tang, J.R. & Mat Isa, N.A., Adaptive Contrast Enhancement Algorithm with Details Preserving, Proceedings of 2014 International Conference on Electrical Engineering Computer Science and Informatics, Institute of Advanced Engineering and Science IAES, 2014.

Kim, Y.-T., Contrast Enhancement using Brightness Preserving Bihistogram Equalization, IEEE Transactions on Consumer Electronics,

(1), pp. 1-8, 1997.

Ooi, C.H., Sia, N.P.K. & Ibrahim, H., Bi-histogram Equalization with a Plateau Limit for Digital Image Enhancement, IEEE Transactions on

Consumer Electronics, 55(4), pp. 2072-2080, 2009.

Der, C.S. & Ramli, A.R., Minimum Mean Brightness Brror Bi-histogram Equalization in Contrast Enhancement, IEEE Transactions on Consumer Electronics, 49(4), pp. 1310-1319, 2003.

Der, C.S. & Ramli, A.R., Contrast Enhancement using Recursive Meanseparate Histogram Equalization for Scalable Brightness Preservation, IEEE Transactions on Consumer Electronics, 49(4), pp. 1301-1309, 2003.

Sim, K.S., Tso, C.P. & Tan, Y.Y., Recursive Sub-image Histogram

Equalization applied to Gray Scale Images, Pattern Recognition Letters, 28(10), pp. 1209-1221, 2007.

Sheet, D., Garud, H., Suveer, A., Mahadevappa, M. & Chatterjee, J., Brightness Preserving Dynamic Fuzzy Histogram Equalization, IEEE

Transactions on Consumer Electronics, 56(4), pp. 2475-2480, 2010.

Abdullah-Al-Wadud, M., A Modified Histogram Equalization for

Contrast Enhancement Preserving The Small Parts in Images,

International Journal of Computer Science and Network Security, 12,

Zhu, Y. & Huang, C., An Adaptive Histogram Equalization Algorithm on the Image Gray Level Mapping, Physics Procedia, 25(0), pp. 601-608, 2012.

Ooi, C.H. & Mat Isa, N.A., Adaptive Contrast Enhancement Methods with Brightness Preserving, IEEE Transactions on Consumer Electronics, 56(4), pp. 2543-2551, 2010.

Ooi, C.H., New Histogram Equalization Based Detail and Brightness Preserving Techniques for Digital Images, Master of Science, School of Electrical and Electronic Engineering, Universiti Sains Malysia, 2010.

Singh, K. & Kapoor, R., Image Enhancement Using Exposure Based Sub Image Histogram Equalization, Pattern Recognition Letters, 36, pp. 10-14, 2014.

Shannon, C.E., A Mathematical Theory of Communication, Bell Systems Technical Journal, 27(3), pp. 379-423, 1948.

Zadbuke, A.S., Brightness Preserving Image Enhancement Using

Modified Dualistic Sub Image Histogram Equalization, International

Journal of Scientific & Engineering Research, 3(2), 2012.

Khan, M.F., Khan, E. & Abbasi, Z.A., Weighted Average Multi Segment Histogram Equalization for Brightness Preserving Contrast

Enhancement, In: IEEE International Conference on Signal Processing, Computing and Control (ISPCC), pp. 1-6, 2012.

Liang, K., Ma, Y., Xie, Y., Zhou, B. & Wang, R., A New Adaptive

Contrast Enhancement Algorithm for Infrared Images Based on Double Plateaus Histogram Equalization, Infrared Physics & Technology, 55(4), pp. 309-315, 2012.

Chang-Jiang, Z., Meng-Yin, F., Jin, M. & Qi-Hong, Z., Approach to

Enhance Contrast of Infrared Image Based on Wavelet Transform,

Journal of Infrared and Millimeter Waves, 23(2), pp. 119-124, 2004.

CVG-UGR-Database,, June 1st, 2014.



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