CFP last date
20 January 2025
Reseach Article

Comparative Study of Different Enhancement Techniques for Medical Images

by N. Mohanapriya, B. Kalaavathi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 20
Year of Publication: 2013
Authors: N. Mohanapriya, B. Kalaavathi
10.5120/10199-4999

N. Mohanapriya, B. Kalaavathi . Comparative Study of Different Enhancement Techniques for Medical Images. International Journal of Computer Applications. 61, 20 ( January 2013), 39-44. DOI=10.5120/10199-4999

@article{ 10.5120/10199-4999,
author = { N. Mohanapriya, B. Kalaavathi },
title = { Comparative Study of Different Enhancement Techniques for Medical Images },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 20 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 39-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number20/10199-4999/ },
doi = { 10.5120/10199-4999 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:10.352670+05:30
%A N. Mohanapriya
%A B. Kalaavathi
%T Comparative Study of Different Enhancement Techniques for Medical Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 20
%P 39-44
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image enhancement is a process of improving the visual quality of an input image which is more suitable for the human observer. The digital images can be enhanced by improving the perceptibility or improving the structural features. The varieties of enhancement techniques are available for digital images. Appropriate choices of such techniques are greatly influenced by the image modality, task at hand and viewing conditions of an application. The objective of an image enhancement is to change or modify the quality of an image for specific application. The enhancement techniques can be categorized by spatial domain and frequency domain method. This paper only discusses about spatial domain enhancement techniques along with their algorithm and also analyzes their performance based on the image quality for medical images.

References
  1. Anamika Bhardwaj, Manish K. Singh," A Novel approach of medical image enhancement based on Wavelet transform", International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622 ,Vol. 2, Issue 3, May-Jun 2012, pp. 2356-2360.
  2. Beilei Xu, Yiqi Zhuang, "Object-Based Multilevel Contrast Stretching Method for Image Enhancement", IEEE Transactions on Consumer Electronics, Vol. 56, No. 3, August 2010.
  3. Hossain, M. F, Alsharif, M. R, Yamashita, K. "Medical image enhancement based on nonlinear technique and logarithmic transform coefficient histogram matching " Complex Medical Engineering (CME),International Conference on 13-15 July 2010, Page(s): 58 - 62.
  4. John M. Gauch, "Image Segmentation and Analysis via Multiscale Gradient Watershed Hierarchies " , IEEE Transactions On Image Processing, Vol. 8, No. 1, January 1999.
  5. John P. Oakley and Hong Bu, "Correction of Simple Contrast Loss in Colour Images," IEEE Transactions on Image Processing, Vol. 16, No. 2, pp. 511-522, February 2007.
  6. Kanwal, N. ; Girdhar, A. ; Gupta, S, "Region Based Adaptive Contrast Enhancement of Medical X-Ray Images" Bioinformatics and Biomedical Engineering, (iCBBE) 2011 5th International Conference on 2011 , Page(s): 1 - 5.
  7. Kong and H. Ibrahim, "Color Image Enhancement Using Brightness Preserving Dynamic Histogram Equalization," IEEE Trans. on Consumer Electronics, Vol. 54, No. 4, pp 1962-1968 Nov. 2008.
  8. T. Kim and J. Paik, "Adaptive Contrast Enhancement Using Gain- Controllable Clipped Histogram Equalization," IEEE Trans. On Consumer Electronics, Vol. 54, No. 4, pp 1803-1810 Nov. 2008.
  9. Kostas Haris, Serafim N. Efstratiadis, "Hybrid Image Segmentation Using Watersheds And Fast Region Merging", IEEE Transactions On Image Processing, Vol. 7, No. 12, December 1998.
  10. G. Park, H. Cho, and M. Choi, "A Contrast Enhancement using Dynamic Range Separate Histogram Equalization", IEEE Trans. on Consumer Electronics, Vol. 54, No. 4, pp 1981-1987 Nov. 2008.
  11. Saruchi, Madan Lal "Comparative Study Of Different Image Enhancement Techniques", International Journal of Computers & Technology Volume 2 No. 3, June, 2012.
  12. Suneetha,T Venkateswarlu "Enhancement Techniques for Gray scale Images in Spatial Domain ", International Journal of Emerging Technology and Advanced Engineering ,ISSN 2250-2459, Volume 2,Issue 4, April 2012.
  13. Raman Maini and Himanshu Aggarwal, "A Comprehensive Review Of Image Enhancement Techniques", Journal Of Computing, Volume 2, Issue 3, March 2010, ISSN 2151-9617.
  14. Wang Yan Wei; Wang Lei; Wei Jie; Wang Da Da Li Jin; "Industrial X-ray image enhancement algorithm based on adaptive histogram and wavelet ",Strategic Technology (IFOST), 2011 6th International Forum on Volume: 2, 2011 , Page(s): 836 – 839.
  15. Yuanyuan Shang, Hongchao Song, "Research on image enhancement algorithms based on Matlab", Image and Signal Processing (CISP), 2011 4th International Congress on Date of Conference: 15-17 Oct. 2011, Volume:2 , Page(s): 733 – 736.
Index Terms

Computer Science
Information Sciences

Keywords

Image processing Image enhancement Transformation Histogram Illumination