Myung-yoon LEE, Hern-soo HAHN, Young-joon HAN
(Dept. of Electronic Engineering,Soongsil University,Seoul 156-743, Korea)
Abstract-A conventional global contrast enhancement is difficult to apply in various images because image quality and contrast enhancement are dependent on image characteristics largely. And a local contrast enhancement one not only causes a washed-out effect, but also has a blocking effect. To solve these drawbacks, this paper derives an optimal global equalization function using variable size block based local contrast enhancement. The optimal equalization function makes it possible to get a good quality image through the global contrast enhancement. The variable size block segmentation is firstly executed using intensity differences as a measure of similarity. In the second step, the optimal global equalization function is obtained from the enhanced contrast image having variable size blocks. Conformed experiments show that the proposed algorithm produces a visually comfortable result image.
Key words-global contrast enhancement; local contrast enhancement; optimal equalization function, block segmentation, variable size block
Manuscript Number: 1674-8042(2011)supp1.-0065-04
doi: 10.3969/j.issn.1674-8042.2011.supp1.014
References
[1]Jain A K. Fundamentals of Digital Image Processing, Prentice Hall, New Jersey, 1989.
[2]Kim J Y, Kim L S, Hwang S H. Advanced contrast enhancement using partially overlapped sub-block histogram equalization. IEEE Trans. on Circuits and Systems for Video Technology, 2001, 11(4):475-484.
[3]Stark J A. Adaptive image contrast enhancement using generalizations of histogram equalization. IEEE Trans. on Image Processing, 2000, 9(5): 889-896.
[4]Kim Y T. Contrast Enhancement using brightness preserving bi-histogram equalization. IEEE Trans. on Consumer Electronics, 1997, 43(1):1-8.
[5]Chen S D, Ramli A R.Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation. IEEE Trans. on Consumer Electronics, 2003, 49(4): 1301-1309.
[6]Chen S D, Ramli A Rahman. Minimum mean brightness error bi-histogram equalization in contrast enhancement. IEEE Trans. on Consumer Electronics, 2003, 49(4):1310-1319.
[7]Lamberti F,Montrucchio B,Sanna A.CMBFHE:a novel contrast enhancement technique based on cascaded multistep binomial filtering histogram equalization. IEEE Trans. on Consumer Electronics,2006, 52(3):966-974.
[8]Wu Z Q, Ware J A, Wilson I D, et al. Echanism analysis of highly overlapped interpolation contrast enhancement. IEEE Proceedings Vision, Image & Signal Processing, 2006,153(4): 512-520.
[full text view]