Wavelet Decomposition and Non-Local Means Based Satellite Image Resolution Enhancement

S. Muralikrishna, Sk. Mahaboobe


The high-frequency sub band and the low-resolution (LR) input image are interpolated using the bi-cubic interpolator. The high frequency sub bands are passed through an NLM filter to cater for the artifacts generated by DT-CWT. The filtered high-frequency sub bands and the LR input image are combined using inverse DT-CWT to obtain a resolution-enhanced image. The simulated results will show that technique used in this process provides better accuracy rather than prior methods.


Satellite image Resolution Enhancement (SRE); Non-Local Means filter (NLM); Dual-Tree Complex Wavelet transform (DT-CWT); PSNR (Peak signal to noise ratio); MSE (Mean square error)

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Copyright (c) 2015 S. Muralikrishna, Sk. Mahaboobe

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