Article

A Brief Description of Enhancement of Grayscale Image using Fuzzy Techinque

Author(s):

Vandna, RPSGOI, Balana,Mohindergarh(Haryana); Dr. Rajeev Yadav ,RPSGOI, Balana,Mohindergarh(Haryana)

Keywords

Spatial Domain, Image Enhancement, Fuzzy Logic, Membership Function, Fuzzification, Defuzzification, PSNR, MSR

Abstract

Image Enhancement is the one of the most powerful technique through which we can be improved the quality of any images. The aim motive is to use the image enhancement technique is to enhance the image visual appearance. There are many technique are used to enhance the image quality are Spatial domain method and frequency domain method. One of the spatial domain enhanced method that are operated directly on the image pixels. Spatial Domain Method are mainly be applied on the digital image to enhance their visual appearance. Image Enhancement technique are used in many fields like satellite ,print media, image processing, military and our real life photographs quality. Image enhancement technique also be improves the clarity of images of human viewing, removing noise, unambiguity and blurring also. This paper compares some images with some existing methods on the basis of PSNR value. After finding out the PSNR value for the given image, we find that the proposed algorithm gives much better result than other existing techniques and the whole work is implemented in MATLAB.

Reference

    [1] Anil K.jain, Salil Prabhakar, Lin Hong, and Sharath Pankanti, “Filterbank- Based Fingerprint Matching,” IEEE transactions on image processing, Vol.9,NO.5,MAY 2000. [2] Approximation Studies on Image Enhancement Using Fuzzy Technique by Sasi Gopalan, Madhu S Nair and Souriar Sebasti. International journal of Advanced Science and Technology Vol. 10. September, 2009. [3] Ertugrul Saatchi and Vedat Tavsanoglu, “Fingerprint Image Enhancement using CNN Gahor –type filters Cellular Neural [4] Networks and their Applications, proceedings, 7th IEEE International workshop, p.p 377-382, 2002. [5] Faisel Saeed, K.M. George, Huizhu Lu “Image Contrast Enhancement Using Fuzzy Set Theory”. [6] H.C.Lee and R.E.Gaensslen, Eds., Advances in Fingerprint Technology, New York: Elsevier, 1991. [7] H R.Tizhoosh, “Fast fuzzy edge detection,” in proceedings NAFIPS 2002 Annual Meeting of the North American Fuzzy Information Processing Society,pp. 239-242, 27-29 June 2002. [8] K. Pringle. “Visual perception by a computer,” In Automatic Interpretation and Classification of Images, pages 277-284. Academic Press, New York, 1969. [9] L. Zadeh, ‘Fuzzy Sets’, Information Control, pp. 338-353, 1965. [10] Lin Hung, Wan, Anil Jain: “Fingerprint Image Enhancement: Algorithm and Performance Evaluation” IEEE Transaction on panem analysis and machine intelligence”, Vol 20 N.8, p.p. 777-789, 1998. [11] L. O. Hall and A. Namasivayam, “Using adaptive fuzzy rules for image segmentation”, in IEEE World Congress on Computational intelligence, Vol. 2, pp. 808-825, 1997. [12] M. Hanmadlu, D. Jha, and R.Sharma, “Color image enhancement using fuzzy intersification”, Pattern recognition Letters, Vol.24 (1-3), p.p. 81-87, 2003. [13] Milind Kumar V.Sarode, Dr. S.A.Ladhake, Dr.Prashant R.Deshmukh “ Fuzzy system for color image enhancement” proceedings of world academy of science, engineering and technology volume 36 December 2008.

Other Details

Paper ID: GRDJEV02I060108
Published in: Volume : 2, Issue : 6
Publication Date: 2017-06-01
Page(s): 156 - 162

Article Preview

Download   Google Scholar