MULTI SCALE DECOMPOSITION AND EDGE PRESERVING FILTER BASED SATELLITE IMAGE RESOLUTION ENHANCEMENT

K.R.Manikandan¹, Mallikarjuna Nandi²

¹PG student- Department of CSE - Velammal college of Engineering and technology, Madurai, Tamilnadu, India.

²Assistant Professor- Department of CSE - Velammal college of Engineering and technology, Madurai, Tamilnadu, India.

                Resolution enhancement (RE) schemes (which are not based on wavelets) suffer from the drawback of losing high frequency contents (which results in blurring). The discrete wavelet transform- based (DWT) RE scheme generates artifacts (due to a DWT shift-variant property). A wavelet-domain Handled based on dual-tree complex wavelet transform (DT-CWT) and nonlocal means (NLM) is proposed for RE of the satellite images. Satellite input Picture is decomposed by DT-CWT (which is nearly shift invariant) to obtain high-frequency subbands. The high-frequency subband and the low-resolution (LR) input image are interpolated using the Lanczos interpolator. The high frequency subband are passed through an NLM filter to cater for the artifacts generated by DT-CWT (despite of it’s nearly shift invariance).This Is The filtered high-frequency subbands and the LR input image are combined using inverse DT-CWT to obtain a resolution-enhanced image. Objective and subjective analyses reveal superiority of the proposed technique over the conventional and state of- the-art RE techniques.