Satellite Image Resolution Enhancement Using Nonsubsampled Contourlet Transform and Clustering on Subbands |
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| Authors: | S S Aneesh Raj Madhu S Nair G R K S Subrahmanyam |
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| Institution: | 1.Department of Computer Science,University of Kerala,Kariavattom, Thiruvananthapuram,India;2.Indian Institute of Space Science and Technology (IIST),Thiruvananthapuram,India |
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| Abstract: | In this paper two new schemes for resolution enhancement (RE) of satellite images are proposed based on Nonsubsampled Contourlet Transform (NSCT). First one is based on the interpolation on band pass images obtained by applying NSCT on the input low resolution image. Similar to Demirel and Anbarjafari (IEEE Trans Geosci Remote Sens 49(6):1997–2004, 2011), as an intermediate step, the difference between approximation band and the input low resolution image is added with all the band pass directional subbands, to obtain a sharper image. This method is simple and computationally efficient but lacks sharp recovery of the edges due to the interpolation of band pass images. To overcome this, another method is proposed to obtain the difference layer, where dictionary is built using patches which are extracted from high resolution training image subbands. Similar patches from the dictionary are then clustered together. This method gives a much sharper image than the first method. Subjective and objective analysis of proposed methods reveals the superiority of the methods over conventional and other state-of-the-art RE methods. |
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