A State-of-the-art Review on Wavelet Based Image Resolution Enhancement Techniques: Performance Evaluation Criteria and Issues | Zendy

Samiul Azam | Zendy; Fatema Tuz Zohra | Zendy; Md. Monirul Islam | Zendy

Open Access

A State-of-the-art Review on Wavelet Based Image Resolution Enhancement Techniques: Performance Evaluation Criteria and Issues

Author(s) -

Samiul Azam,

Fatema Tuz Zohra,

Md. Monirul Islam

Publication year - 2014

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.2014.09.05

Subject(s) - wavelet , transformation (genetics) , image enhancement , computer science , image (mathematics) , artificial intelligence , wavelet transform , resolution (logic) , image processing , computer vision , noise (video) , pattern recognition (psychology) , biochemistry , chemistry , gene

- Abstract—Image resolution enhancement in wavelet domain has been one of the most active research areas in image processing. Many methods and techniques, based on wavelet transformation have been proposed in last couple of years. In this paper, we present a review on the state-of-the-art techniques for wavelet based image resolution enhancement. We summarize them with enhancement ability in peak signal to noise ratio (PSNR) and give comments on their performance. In addition, through our review, we have found some essential criteria and issues related to performance assessment of different resolution enhancement techniques. Our experimental results have proved the significance of these issues. Future directions for image resolution enhancement research are stated at the end.

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