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Satellite Image Enhancement Using Framelet Transform And Non-Local Means Filter

Resolution enhancement (RE) schemes suffer from the drawback of losing high frequency contents (which results in blurring). The wavelet-transform-based RE scheme, generates artifacts (due to a shift-variant property). Therefore a framelet-domain approach and non-local means (NLM) filter is proposed for RE of the satellite images. A satellite input image is decomposed by Framelet transform ( FT) to obtain high-frequency subbands. The high-frequency subbands and the low-resolution (LR) input image are interpolated using the Lanczos interpolator. The high frequency subbands are passed through an NLM (despite of its nearly shift invariance). The filtered high-frequency subbands and the LR input image are combined using inverse FT to obtain a resolution-enhanced image. Objective and subjective analyses reveal superiority of the proposed technique over the RE techniques.