Adaptive Image Enhancement Using Image Properties and Clustering

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Nithyananda C R 1,* Ramachandra A C 2

1. Department of CSE, East Point College of Engineering and Technology, Bangalore, India

2. Department of ECE, Alpha College of Engineering, Bangalore, India

* Corresponding author.


Received: 23 Apr. 2016 / Revised: 6 Jun. 2016 / Accepted: 12 Jul. 2016 / Published: 8 Aug. 2016

Index Terms

Image Enhancement, Image Property, Normalization, Image Classification


Image Enhancement is the method of improving the visibility of given image. Image Properties are used for the analysis of Quality of the given image. Various image Properties considered to improve the quality of the image. The Classification or grouping of images can be made by applying unsupervised image Classification algorithm. In our proposed method, various image properties are studied and an Adaptive K-means Clustering method is applied for Fractal image with Entropy Properties. The images are to enhanced on the basis of its grouping automatically. The resulted Classification can be acceptable by the user since the grouping is made on the type of the image i.e., Good Visible, Moderate and Blur images.

Cite This Paper

Nithyananda C R, Ramachandra A C,"Adaptive Image Enhancement Using Image Properties and Clustering", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.8, pp.9-14, 2016. DOI: 10.5815/ijigsp.2016.08.02


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