Image Enhancement Methods: A Review

Gabriel Babatunde Iwasokun *

Department of Web and Multi-Media Computing, Tshwane University of Technology, Pretoria, South Africa.

Oluwole Charles Akinyokun

Department of Computer Science, Federal University of Technology, Akure, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

Image processing is faced with a number of challenges ranging from unequal resolutions, format variations, non uniform illuminations, distortions and noise. It is also affected by orientation and contrast differences. In view of these challenges, most digital image processing applications or devices employ enhancement procedure prior to the use of the captured image for intended purposes. This paper reports on the review of some of the existing digital image enhancement methods with emphasis on methodologies, strengths, limitations and application areas. The specific application of some of these methods by different authors is also presented.

Keywords: Image Processing, algorithms, noise and artifacts, image digitization, image enhancement


How to Cite

Iwasokun, Gabriel Babatunde, and Oluwole Charles Akinyokun. 2014. “Image Enhancement Methods: A Review”. Journal of Advances in Mathematics and Computer Science 4 (16):2251-77. https://doi.org/10.9734/BJMCS/2014/10332.

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