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Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing

by Palpinder Kaur, Deepak Aggarwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 33
Year of Publication: 2018
Authors: Palpinder Kaur, Deepak Aggarwal
10.5120/ijca2018916821

Palpinder Kaur, Deepak Aggarwal . Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing. International Journal of Computer Applications. 180, 33 ( Apr 2018), 13-17. DOI=10.5120/ijca2018916821

@article{ 10.5120/ijca2018916821,
author = { Palpinder Kaur, Deepak Aggarwal },
title = { Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2018 },
volume = { 180 },
number = { 33 },
month = { Apr },
year = { 2018 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number33/29257-2018916821/ },
doi = { 10.5120/ijca2018916821 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:02:32.345844+05:30
%A Palpinder Kaur
%A Deepak Aggarwal
%T Comparative Analysis of Contrast Enhancement Techniques in Digital Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 33
%P 13-17
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Contrast enhancement is considered as one of the interesting as well as the visually appealing technique used for enhancement of contrast of an image. It is involved in the area of image processing where several operations such as enhancing contrast, reduction of noise for improved quality of the images are measured. There is a number of contrast enhancement techniques are available and proposed by several researchers. Considering, this paper provided a survey of different contrast enhancement such as HE, BBHE, DSIHE, MMBEBHE, RMSHE, MHE, BPDHE and LCS and Low pass and High pass filtering techniques.

References
  1. Kaur, A., Girdhar, A., & Kanwal, N. (2016, February). The region of interest based contrast enhancement techniques for CT images. In Computational Intelligence & Communication Technology (CICT), 2016 Second International Conference on(pp. 60-63). IEEE.
  2. Girdhar, A., Gupta, S., & Bhullar, J. (2015, February). Region-Based Adaptive Contrast Enhancement of Medical Ultrasound Images. In Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on(pp. 750-753). IEEE.
  3. Djerouni, A., Hamada, H., & Berrached, N. (2011). MR imaging contrast enhancement and segmentation using fuzzy clustering. IJCSI International Journal of Computer Science Issues, 8(4).
  4. Makandar, A., & Halalli, B. (2015). Image enhancement techniques using highpass and lowpass filters. International Journal of Computer Applications, 109(14).
  5. Wong, C. Y., Liu, S., Liu, S. C., Rahman, M. A., Lin, S. C. F., Jiang, G., ... & Shi, H. (2016). Image contrast enhancement using histogram equalization with maximum intensity coverage. Journal of Modern Optics, 63(16), 1618-1629.
  6. Cao, G., Huang, L., Tian, H., Huang, X., Wang, Y., & Zhi, R. (2017). Contrast enhancement of brightness-distorted images by improved adaptive gamma correction. Computers & Electrical Engineering.
  7. Kanwal, N., Girdhar, A., & Gupta, S. (2011, May). Region-based adaptive contrast enhancement of medical X-ray images. In Bioinformatics and Biomedical Engineering,(iCBBE) 2011 5th International Conference on (pp. 1-5). IEEE.
  8. Naik, N., & Mishra, A. (2015). Low contrast image enhancement using wavelet transform based algorithms: a literature review. Int. J. Eng. Tech. Res, 3(6), 123-128.
  9. Kaur, S. (2013). Contrast enhancement techniques for images-A visual analysis. International Journal of Computer Applications, 64(17).
  10. Kaur, R., & Kaur, S. (2016, March). Comparison of contrast enhancement techniques for a medical image. In Emerging Devices and Smart Systems (ICEDSS), Conference on (pp. 155-159). IEEE.
  11. Kotkar, V. A., & Gharde, S. S. (2013). Review of various image contrast enhancement techniques. International journal of innovative research in Science, Engineering, and Technology, 2(7).
Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Contrast Enhancement Low Pass and High Pass filters.

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