Research Article

Contrast Enhancement of an Image using Fuzzy Logic

by  Sonal Sharma, Avani Bhatia
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Issue 17
Published: February 2015
Authors: Sonal Sharma, Avani Bhatia
10.5120/19757-1410
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Sonal Sharma, Avani Bhatia . Contrast Enhancement of an Image using Fuzzy Logic. International Journal of Computer Applications. 111, 17 (February 2015), 14-20. DOI=10.5120/19757-1410 

                        @article{ 10.5120/19757-1410,
                        author  = { Sonal Sharma,Avani Bhatia },
                        title   = { Contrast Enhancement of an Image using Fuzzy Logic },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 111 },
                        number  = { 17 },
                        pages   = { 14-20 },
                        doi     = { 10.5120/19757-1410 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Sonal Sharma
                        %A Avani Bhatia
                        %T Contrast Enhancement of an Image using Fuzzy Logic%T 
                        %J International Journal of Computer Applications
                        %V 111
                        %N 17
                        %P 14-20
                        %R 10.5120/19757-1410
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Image enhancement plays a significant role in vision applications. Many techniques have been proposed so far for enhancing the images. It has been found that the most of the existing techniques are based upon the transform domain methods; which may introduce the color artefacts and also may reduce the intensity of the input remote sensing image. To overcome this problem a modified approach is introduced in this research work. The new integrated approach has the capability to enhance the contrast in digital images in efficient manner by using the modified fuzzy based enhancement algorithm. Modified fuzzy image enhancement has integrated image gradients with input image for image enhancement. After image enhancement using modified fuzzy based algorithms the color normalization has come in action to reduce color artefacts. In order to evaluate the significant improvement of the proposed various well known images has been selected for experimental results. The experimental results have shown that the proposed technique has quite effective improvement over the available techniques.

References
  • Vijay A. Kotkar and Sanjay S. Gharde "Review of various Image Contrast Enhancement Techniques", International Journal of Innovative Research in Science, Engineering and Technology,Vol. 2, No. 7, July 2013.
  • Vijay Dhir and Sanjeev Kumar "Review of Various Image Contrast Enhancement Techniques",International Journal of Advanced Research in Computer Science and Software Engineering,Vol. 4,No. 8,August 2014.
  • Hanan Saleh S. Ahmed and Md Jan Nordin "Improving Diagnostic Viewing of Medical Images using Enhancement Algorithms ", Journal of Computer Science vol. 7,No. 12,2011.
  • Raman Maini and Himanshu Aggarwal "A Comprehensive Review of Image Enhancement Techniques ", Journal of Computing , vol. 2, No. 3, March 2010.
  • Tarun Dewangan, M. A. Siddiqui and RCET Bhiali "Analysis of Contrast Enhancement Method Using Modi_ed Dynamic Histogram ", International Journal of Engineering Science and Innovative Technology (IJESIT) , Volume 2, No. 3, May 2013.
  • Arun Kavi Arasu. S, Mohamed Nizar. S and Prabakaran. D "Review of Image Contrast Enhancement Techniques ",International Journal of Engineering Research & Technology (IJERT),Vol. 2,No. 7, November 2013.
  • G. Maragatham, S. Md. Mansoor Roomi "An Automatic Contrast Enhancement method based on Stochastic Resonance ", In IEEE Fourth International Conference on Computing, Com munications and Networking Technologies (ICCCNT),Tiruchengode,India , pp. 1-7, July 2013.
  • Thien Huynh- The,Thuong Le-Tien "Brightness Preserving Weighted Dynamic Range Histogram Equalization for Image Contrast Enhancement ",In IEEE International Conference on Advanced Technologies for Communications (ATC'13), pp. 386-391, 2013.
  • Yingjie Zhang "A Novel Contrast Enhancement and Denoising Method for Borescope Images ", In IEEE 5fth International Conference on Advanced Computational Intelligence( ICACI) , pp. 570-573,October 2012.
  • Khairunnisa Hasikin, Nor Ashidi Mat Isa "Enhancement of the low contrast image using fuzzy set theory ", In IEEE 14th International Conference on Modelling and Simulation , pp. 371-376, 2012.
  • P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion ", IEEE Trans. Pattern Anal. Mach. Intell vol. 12,no. 7, pp 629-639, 1990.
  • M. Abdullah-Al-Wadud , Yoojin Chung "A User-specified Approach for Image Contrast Enhancement ", 12th International Conference on Intelligent Systems Design and Applications (ISDA),pp. 937-940,2012.
  • Dileep MD, A. Sreenivasa Murthy "A Comparison between different Colour Image Contrast Enhancement Algorithms ", In IEEE International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT) , pp. 708-712, 2011.
  • Li H, Yang HS "Fast and reliable image enhancement using fuzzy relaxation technique ", IEEE Trans Syst Man Cybern vol. 19,,pp. 127681,1989.
  • Pal SK, King RA. "Image enhancement using smoothing with fuzzy sets " IEEETrans Syst Man Cybern , pp. 494501, July 7.
  • Reshmalakshmi C. and Sasikumar M. Image Con-trast Enhancement using Fuzzy Technique ",International Conference on Circuits, Power and Computing Technologies [ICCPCT-2013],pp. 861-865,2013.
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

CD CII EMEE ME Fuzzy enhancement.

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