CFP last date
20 May 2024
Reseach Article

A Review on Image Enhancement Methods

by Ashwini R. Karande., A. L. Renke.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 6
Year of Publication: 2017
Authors: Ashwini R. Karande., A. L. Renke.

Ashwini R. Karande., A. L. Renke. . A Review on Image Enhancement Methods. International Journal of Computer Applications. 164, 6 ( Apr 2017), 4-9. DOI=10.5120/ijca2017913647

@article{ 10.5120/ijca2017913647,
author = { Ashwini R. Karande., A. L. Renke. },
title = { A Review on Image Enhancement Methods },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 6 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 4-9 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2017913647 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:10:32.484325+05:30
%A Ashwini R. Karande.
%A A. L. Renke.
%T A Review on Image Enhancement Methods
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 6
%P 4-9
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

Image enhancement is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines. Processing of satellite images is very much essential in the computer science research field. The image taken by satellites may be affected by many reasons such as climate, weather and other factors. Important information may not be clear because of blurred or not so clear images. Satellite images have complete information but may not visible, that information can be improved by image enhancement. Satellite images are used in many fields such as astronomy, geographical information system and geoscience studies. Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used.

  1. Ahmed M. Mahmood, and Jasni Mohmad Zain. “ A study on the validation of histogram equalization as a contrast enhancement technique”. In Advanced Computer Science Applications and Technologies (ACSAT),2012 International Conference on, pp.253-256.IEEE,2012.
  2. Cao, Gang, Yao Zhao, Rongrong Ni, and Xuelong Li. "Contrast enhancement-based forensics in digital images." Information Forensics and Security, IEEE Transactions on 9, no. 3 (2014): 515-525.
  3. Cheng, H. D., and Yingtao Zhang. "Detecting of contrast over-enhancement." In Image Processing (ICIP), 2012 19th IEEE International Conference on, pp. 961-964. IEEE, 2012.
  4. Chen, Xiaoming, and Lili Lv. "A Compositive Contrast Enhancement Algorithm of IR Image." In Information Technology and Applications (ITA), 2013 International Conference on, pp. 58-62. IEEE, 2013.
  5. Reshmalakshmi, C., and M. Sasikumar. "Image contrast enhancement using fuzzy technique." In Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on, pp. 861-865. IEEE, 2013.
  6. Demirel, Hasan, CagriOzcinar, and Gholamreza Anbarjafari. "Satellite image contrast enhancement using discrete wavelet transform and singular value decomposition." Geoscience and Remote Sensing Letters, IEEE 7.2: pp.333-337, 2010.
  7. Maragatham, G., S. MdMansoor Roomi, and T. Manoj Prabu. "Contrast enhancement by object based Histogram Equalization." Information and Communication Technologies (WICT), 2011 World Congress on. IEEE, 2011.
  8. Arya P Unni, “Satellite Image Enhancement Using 2D Level DWT”, International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, Vol. 3 Issue 3, March 2014.
  9. Turgay Celik And Huseyin Kusetogullari,” Self-Sampled Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform” In European Signal Processing Conference, Glasgow, Scotland, 2009.
  10. Hasan Demirel And Gholamreza Anbarjafari,”Discrete Wavelet Transform-Based Satellite Image Resolution Enhancement” IEEE Trans. Geoscience And Remote Sensing Letters, Vol.7, No.5,May 2011.
  11. Ke, Wei-Ming, Chih-Rung Chen, and Ching-Te Chiu. "BiTA/SWCE: Image enhancement with bilateral tone adjustment and saliency weighted contrast enhancement." Circuits and Systems for Video Technology, IEEE Transactions on 21.3: pp.360-364, 2010.
  12. Chauhan, Ritu, and Sarita Singh Bhadoria. "An improved image contrast enhancement based on histogram equalization and brightness preserving weight clustering histogram equalization." Communication Systems and Network Technologies (CSNT), 2011 International Conference on. IEEE, 2011.
  13. Ghimire, Deepak, and Joonwhoan Lee. "Nonlinear transfer function-based local approach for color image enhancement." Consumer Electronics, IEEE Transactions on 57.2: pp.858-865, 2011.
  14. Josephus, ChelsySapna, and S. Remya. "Multilayered Contrast Limited Adaptive Histogram Equalization Using Frost Filter." Recent Advances in Intelligent Computational Systems (RAICS), IEEE, 2011.
  15. Lasmika, K. Raveendra, "Improving Quality of Satellite Image by Wavelet Transforming & Morphological Filtering", International Journal of Innovative Research in Science, Engineering and Technology, ISSN: 2319- 8753,Vol. 3, Issue 7, July 2014.
  16. E. Mohan, K.B. Jayarraman, U. Maheswaran, D. Sathiyaraj. G.Dhakshanamoorthi,”A novel aproach for satellite image resolution enhancement”, International Journal Of Engineering And Advanced Technology (Ijeat) Issn:2249-8958, Volume-2, Issue-4, April 2013,Pp.112-114
  17. S.VENKATRAMANA, S. NARAYANA REDDY,” A Novel Method To Improve Resolution Of Satellite Images Using DWT And Interpolation.” International Journal Of Advanced Research In Electrical, Electronics And Instrumentation Engineering, Vol.3, Issue 1,January 2014,Pp.6530-6536
  18. Sundaram, M., K. Ramar, N. Arumugam, and G. Prabin. "Histogram based contrast enhancement for mammogram images." In Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on, pp. 842-846. IEEE, 2011.
  19. Madhu S. Nair. And G. Raju “A fast and efficient color image enhancement method based on fuzzy logic and histogram”. IEEE Trans Syst Man Cybern 1981;SMC-11(July (2013):494–501ss
  20. Hasan Demirel And Gholamreza Anbarjafari,”Satellite Image Resolution Enhancement Using Dual Tree-Complex Wavelet Transform” IEEE Trans. Geoscience And Remote Sensing Letters, Vol.7, No.1, January 2010,Pp123-126.
Index Terms

Computer Science
Information Sciences


Image enhancement Histogram equalization Discrete wavelet transform(DWT) Wavelet zero padding(WZP) Undecimented wavelet transform (UWT) Dual Tree- Complex Wavelet Transform (DT-CWT).