Study of Image Enhancement Techniques in Image Processing: A Review

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Ramandeep Kaur 1 Kamaljit Kaur 2

1. Village Urdhan,Tehsil Ajnala, Amritsar ,Punjab and 143103, India

2. Department Computer Engineering and Technology,Guru Nanak Dev University, Amritsar, Punjab and 143001, India

* Corresponding author.


Received: 29 Jul. 2016 / Revised: 26 Aug. 2016 / Accepted: 5 Oct. 2016 / Published: 8 Nov. 2016

Index Terms

Image denoising, Over Complete Dictionary, Orthogonal Matching Pursuit (OMP), Wavelet Coefficients based on Orthogonal Matching Pursuit (WCOMP)


Image denoising plays extremely important role in digital image processing. The primary objective of this paper is to explore highlighted challenges of the image filtering techniques. The comprehensive study has evidently shown that the one of most challenging issue in image filtering is edge preserving while removing the noise. Because edges deliver the most important information to the human visual system. This paper has compared different recent image filtering methods based upon certain factors. The comparisons have shown that the noise reduction using wavelet coefficients based on OMP has quite effective improvements over available methods. Challenging issue in image filtering technique is removing the multiplicative noise and high density of noises is still found.

Cite This Paper

Ramandeep Kaur, Kamaljit Kaur,"Study of Image Enhancement Techniques in Image Processing: A Review", International Journal of Engineering and Manufacturing(IJEM), Vol.6, No.6, pp.38-50, 2016. DOI: 10.5815/ijem.2016.06.04


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