IJTEEE
International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
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IJTEEE >> Volume 2 - Issue 6, June 2014 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



Superiority Of MMBEDHE Technique In Image Enhancement

[Full Text]

 

AUTHOR(S)

Deepa. C. Kugor

 

KEYWORDS

Keywords: Color Image enhancement, MMBEDHE – Mean Brightness Error Dynamic Histogram Equalization, Brightness preservation, Histogram equalization

 

ABSTRACT

Abstract: The simple and effective Histogram Equalization technique of Image Enhancement has its major disadvantage of hampering the mean brightness of image. So, it is always not affordable to use HE in consumer electronic products. In order to overcome this drawback a novel technique known as Minimum Mean Brightness Error Dynamic Histogram Equalization (MMBEHDE) was proposed to attain maximum brightness preservation.

 

REFERENCES

[1]. Wohler and Cinnafilm to Present Technical Paper on Enhanced Image Processing at SMPTE 2013 on Oct. 24.

[2]. Ms. Seema Rajput and Prof. S.R.Suralkar, Comparative Study of Image Enhancement Techniques – 2013.

[3]. Manpreet Kaur, Jasdeep Kaur, Jappreet Kaur , Survey of Contrast Enhancement Techniques based on Histogram Equalization, 2011, Vol. 2 No. 7,pp 136.

[4]. MD. Foisal Hossain, Mohammad Alsharif and Kastumi Yamashita, An Approach to Color Image Enhancement, – 2010

[5]. J. Pan, C. Zhang and Q. Guo, Image enhancement based on the shearlet transform – 2009.

[6]. M. Abdullah-Al-Wadud, Md. Hasanul Kabir, M. Ali Akber Dewan, and Oksam Chae, “A dynamic histogram equalization for image contrast enhancement”, IEEE Trans. Consumer Electron., vol. 53, no. 2, pp. 593- 600, May 2007.

[7]. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2003.

[8]. S.-D. Chen and A. Ramli, “Contrast enhancement using recursive Mean-Separate histogram equalization for scalable brightness preservation,” IEEE Trans. on Consumer Electronics, vol. 49, no. 4, pp. 1301-1309, Nov. 2003.

[9]. C.Shannon, A Mathematical theory of communication

[10]. N. S. P. Kong and H. Ibrahim, Color Image enhancement using brightness preserving dynamic histogram equalization, IEEE transactions on consumer Electronics, vol 54, 2008

[11]. Wikipedia, The free Encyclopedia.http://en.wikipedia/wiki/HSL_HSV

[12]. J. Y. Kim, L- S Kim and S. H. Hwang, An advanced contrast enhancement using partially over-lapped sub block histogram equalization, IEEE Transactions on Circuits and Systems for video technology, vol.11,2001