Adaptive Image Enhancement Using Image Properties and Clustering | Zendy

C R Nithyananda | Zendy; A C Ramachandra | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Adaptive Image Enhancement Using Image Properties and Clustering

Author(s) -

C R Nithyananda,

A C Ramachandra

Publication year - 2016

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2016.08.02

Subject(s) - artificial intelligence , image (mathematics) , computer science , cluster analysis , pattern recognition (psychology) , image texture , feature detection (computer vision) , computer vision , entropy (arrow of time) , image quality , visibility , image processing , physics , quantum mechanics , optics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research