IJCRR - Vol 09 Issue 12, June, 2017
Comparison of Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Stationary Wavelet Transform (SWT) based Satellite Image Fusion Techniques
Author: Ch Ramesh Babu, D. Srinivasa Rao
The aim of the image fusion is to combining evidence from different images; Multispectral (MS) and Panchromatic (PAN) images acquired from different sensors of the same interpretation in directive to convey enhancedspectral and spatial information as well. In this paper discrete wavelet transform (DWT) and two specializations of discrete cosine transform (DCT); i)DCT varianc,ii) consistency verification with DCT variance fusion techniques are implemented and compared with the proposed methodology for image fusion named stationary wavelet transform (SWT). Fused results obtained from these fusion approaches are assessed through typical evaluation parameters. Fused outcomes obtained from proposed SWT outperforms DWT and two flavors of DCT based fusion approaches. The shift invariant property of SWT produces improved spectral and spatial evidence in the fused image followed by fused grades accomplished from DCT based fusion approaches. The discrete cosine transforms (DCT) grounded approaches of image fusion are further proper and performance oriented in real time applicationsby means of DCT founded principles of static images. Conclusion through this work is a glowing systematic practice for fusion of multi-focus images based on SWT is presented and proved that SWT based fused results surpass other fusion approaches.
Keywords: DWT, DCT, SWT, Variance, Consistency verification
Ch Ramesh Babu, D. Srinivasa Rao. Comparison of Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Stationary Wavelet Transform (SWT) based Satellite Image Fusion Techniques International Journal of Current Research and Review. Vol 09 Issue 12, June, 49-53
 Saranya.G. and Nirmala Devi.S,”Performance evaluation for image fusion technique in medical images using spatial and transform method”,2016.
 Sejal Baraiya and Lokesh P. Gagnani,” An Introduction of Image Fusion Techniques”, International Journal for Innovative Research in Science & Technology,Vol.1No.7,2014
 Tania Sultana, Md. Dulal Hossaina and Md. Karam Newaz,”Analysis on SWT based Image Fusion Techniques using Intuitionistic Fuzzy Set Operations”, International Journal Of Technology Enhancements And Emerging Engineering Research, vol.4, No.8,pp. 16-19,2016.
 Rajvi Patel,Manali Rajput and Pramit Parekh“Comparative Study on Multi-focus Image Fusion Techniquesin Dynamic Scene”, IJCa,Vol.109, No.6, Pp.5-9, 2015
 P. Mangalraj and Anupam Agrawal,”Fusion of Multi-Sensor Satellite Images using Non-Subsampled Contourlet Transform”, Procedia Compur Science, Vol.54, pp.713-720,2015.
 Mansing Rathodand Jayshree Khanapuri“Comparative study of transform domain methods for image resolution enhancement of satellite image”,IEEE xplore,2017.
 D.S.Rao,M.Seetha and M.H.M.Krishna Prasad, “Quality assessment of pixel- level image fusion using fuzzy logic, IJSC,ol.3No.1,pp.13-25, 2012.
 V.P.S Naidu,” Discrete Cosine Transform based Image Fusion Techniques, Journal of Communication, Navigation and Signal Processing”,Vol.1, No.1, pp.35-45,2012.
Md.Bagher, Akbari, Aghagolzadeh and Seyedarabi,“Multi-focus image fusion for visual sensor networks in DCT domain”,Journal onComputers and Electrical Engineering,Vol.37,No