Image Merging in Transform Domain

Authors

  • S. Jadav Department of ETE, K.J. Somaiya Institute of Engineering & Information Technology, Sion, India
  • P. Rawool Department of ETE, K.J. Somaiya Institute of Engineering & Information Technology, Sion, India
  • V. Shah Department of ETE, K.J. Somaiya Institute of Engineering & Information Technology, Sion, India

Keywords:

Image Merging, Fast Fourier Transform, Discrete Cosine Transform, Discrete Wavelet Transform

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.

 

References

SJ. Chapman, “MATLAB Programming for Engineers”, Cengage Learning, India, pp.1-762, 2015.

P. Venkataraman, “Applied Optimization with MATLAB Programming”, John Wiley & Sons, UK, ppl1-526, 2009.

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.

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.

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.

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.

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.

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.

IJSRNSC Vol-5, Issue-1 April 2017

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Published

2017-04-30

How to Cite

[1]
S. Jadav, P. Rawool, and V. Shah, “Image Merging in Transform Domain”, Int. J. Sci. Res. Net. Sec. Comm., vol. 5, no. 1, pp. 38–39, Apr. 2017.

Issue

Vol. 5 No. 1 (2017): April

Section

Review Article

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