Fatema Tuz Zohra

Work place: Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh

E-mail: kaniz.csemist@gmail.com


Research Interests: Computational Science and Engineering, Computational Engineering, Engineering


Fatema Tuz Zohra received her B.Sc. degree in Computer Science and Engineering (CSE) from Military Institute of Science Technology (MIST), Dhaka, Bangladesh, in 2010. At present, she is conducting her M.Sc. program in CSE at Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. He is currently a faculty member of CSE department, Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh.

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

By Samiul Azam Fatema Tuz Zohra Md. Monirul Islam

DOI: https://doi.org/10.5815/ijigsp.2014.09.05, Pub. Date: 8 Aug. 2014

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.

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Remote Sensing Image Resolution Enlargement Algorithm Based on Wavelet Transformation

By Samiul Azam Fatema Tuz Zohra Md. Monirul Islam

DOI: https://doi.org/10.5815/ijigsp.2014.06.03, Pub. Date: 8 May 2014

In this paper, we present a new image resolution enhancement algorithm based on cycle spinning and stationary wavelet subband padding. The proposed technique or algorithm uses stationary wavelet transformation (SWT) to decompose the low resolution (LR) image into frequency subbands. All these frequency subbands are interpolated using either bicubic or lanczos interpolation, and these interpolated subbands are put into inverse SWT process for generating intermediate high resolution (HR) image. Finally, cycle spinning (CS) is applied on this intermediate high resolution image for reducing blocking artifacts, followed by, traditional Laplacian sharpening filter is used to make the generated high resolution image sharper. This new technique has been tested on several satellite images. Experimental result shows that the proposed technique outperforms the conventional and the state-of-the-art techniques in terms of peak signal to noise ratio, root mean square error, entropy, as well as, visual perspective.

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