Image Enhancement Technique on Contrast Variation: A Comprehensive Review

Authors

  • Wan Azani Mustafa School of Mechatronic Engineering, University Malaysia Perlis, 02600 Ulu Pauh, Arau, Perlis, Malaysia. School of Engineering Technology, Kampus Sg. Chuchuh, Universiti Malaysia Perlis, 02100 Padang Besar, Malaysia.
  • Haniza Yazid School of Engineering Technology, Kampus Sg. Chuchuh, Universiti Malaysia Perlis, 02100 Padang Besar, Malaysia.

Keywords:

Contrast, Enhancement, Histogram, Homomorphic, Review, Wavelet,

Abstract

Image enhancement is very important, especially for the analysis and diagnosis of detailed information. Most of the studies conducted in image enhancement focus on contrast normalization. Generally, contrast determines how information in images can be perceived easily, how various details in the image can be easy distinguished or how objects of interest can be located. In this paper, a comprehensive review of image enhancement based on spatial domain (Histogram Equalization (HE) and Homomorphic Filtering) and frequency domain (Discrete Wavelet Transform (DWT)) is presented. The improvement and modification of methods were explained systematically. The objective of this work was to study the advantages and drawbacks for each of the method based on a comparison of the results performance. Besides that, this research focuses on various types of applications, emphasizing the importance of contrast enhancement for the improvement of its performance, especially in terms of accuracy and sensitivity. Previous studies were reviewed and critically compared to gain a better understanding of image enhancement. New ideas for further research improvement in image enhancement were proposed.

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Published

2017-09-29

How to Cite

Mustafa, W. A., & Yazid, H. (2017). Image Enhancement Technique on Contrast Variation: A Comprehensive Review. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3), 199–204. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1498