Image Merging in Transform Domain

S. Jadav¹ , P. Rawool² , V. Shah³

¹ Department of ETE, K.J. Somaiya Institute of Engineering and IT, Sion, India.
² Department of ETE, K.J. Somaiya Institute of Engineering and IT, Sion, India.
³ Department of ETE, K.J. Somaiya Institute of Engineering and IT, Sion, India.

Correspondence should be addressed to: sangeeta.j@somaiya.edu.

Section:Review Paper, Product Type: Journal
Vol.5 , Issue.1 , pp.38-39, Apr-2017

Online published on Apr 30, 2017

Copyright © S. Jadav, P. Rawool, V. Shah . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
This paper presents the three different image merging techniques and there comparative analysis. Idea of our project is to merge two images in transform domain using MATLAB. The various transform domains which are used for merging are Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). Our main aim would be merging two images using the above three domains. These two images which are to be merged are in actual blurred images. They are blurred in such a way that in first image some part on one side is blurred while in second image the other side is blurred. Image merging is required in several fields such as remote sensing using satellite imagery, biomedical, surveillance, military applications etc.

Key-Words / Index Term :
Image Merging, Fast Fourier Transform, Discrete Cosine Transform, Discrete Wavelet Transform

References :

[1] SJ. Chapman, “MATLAB Programming for Engineers�, Cengage Learning, India, pp.1-762, 2015.
Google Scholar

[2] P. Venkataraman, “Applied Optimization with MATLAB Programming�, John Wiley & Sons, UK, ppl1-526, 2009.
Google Scholar

[3] N. Meenaksi, P. Rodrigues, “Tsunami Detection and forewarning system using Wireless Sensor Network - a Survey�, International Journal of Computer Sciences and Engineering, Vol.2, Issue.3, pp.76-79, 2014.
Google Scholar

[4] A. Maurya, R. Tiwari, “Theoretic Study of Image Fusion Techniques � A Survey�, International Journal of Computer Sciences and Engineering, Vol.2, Issue.6, pp.43-49, 2014.
Google Scholar

[5] Prabhjot Singh, Anjana Sharma, “Face Recognition Using Principal Component Analysis in MATLAB�, International Journal of Scientific Research in Computer Science and Engineering, Vol.3, Issue.1, pp.1-5, 2015.
Google Scholar

[6] Pritam Shaha, Niranjan Kshatriya, Rahul Borse, “Static Indoor Object Detection Using MATLAB For Visually Impaired�, International Journal of Computer Sciences and Engineering, Vol.4, Issue.8, pp.33-37, 2016.
Google Scholar

[7] A. Gupta, E. Sharma, N. Sachan, N. Tiwari, “Door Lock System through Face Recognition Using MATLAB�, International Journal of Scientific Research in Computer Science and Engineering, Vol.1, Issue.3, pp.51-55, 2013.
Google Scholar

[8] S. Kushwaha, RK Singh, “Study and Analysis of Various Image Enhancement Method using MATLAB�, International Journal of Computer Sciences and Engineering, Vol.3, Issue.1, pp.15-20, 2015.
Google Scholar