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Jagan Naveen, V.
- Blurred Free Wavelet Based Image Fusion Analysis
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Authors
Affiliations
1 GMR Institute of Technology, Rajam–532 127, Srikakulam District, Andhra Pradesh, IN
1 GMR Institute of Technology, Rajam–532 127, Srikakulam District, Andhra Pradesh, IN
Source
Digital Image Processing, Vol 3, No 1 (2011), Pagination: 23-27Abstract
There are different cases that high spectral and spatial resolution are needed both together, but the instruments presented now can’t produce such data because of several limitations. One solution to get such data is data fusion. There are some methods to merge panchromatic (high spatial resolution) and multispectral data (high spectral resolution). Some of more common methods are based on getting Principle Component (PC), Brovey method, IHS (Intensity-Hue-Saturation) transform, Hex cone These methods change the spectral characteristics very much, so aren’t appropriate to merge the images. Here we use a method based on wavelet multi resolution decomposition to merge the panchromatic band) and multispectral bands. The correlations between the merged images and the original ones show that the proposed method can preserve the spectral characteristics more than the others. Using wavelet based image fusion leads to that spectral post processing such as classification is done more precisely. So this method is preferred. in the combined images.Keywords
Wavelet Transform, Segmentation Algorithm, Panchromatic Multi Spectral Data, Principle Component (Pc), Arithmetic Combination Method and Wavelet Decomposition.- Comprehensive Analysis of UFMC with OFDM and FBMC
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Authors
Affiliations
1 Department of ECE, GMRIT, Rajam – 532127, Andhra Pradesh, IN
2 Department of ECE, Andhra University, Visakhapatnam – 530003, Andhra Pradesh, IN
1 Department of ECE, GMRIT, Rajam – 532127, Andhra Pradesh, IN
2 Department of ECE, Andhra University, Visakhapatnam – 530003, Andhra Pradesh, IN