Абстрактный

Satellite Image Resolution Enhancement Using Arsis Based Pan sharpening Methods

R.Gunachitra, Mr.D.Suresh

Resolution enhancement (RE) schemes (which are not based on wavelets) suffer from the drawback of losing high frequency contents (which results in blurring). Here we propose the Adaptive wavelet- transform-based (AWT) for resolution Enhancement in satellite images. A satellite input image is decomposed by DT-CWT (which is nearly shift invariant) to obtain high-frequency sub bands. The high-frequency sub bands and the lowresolution (LR) input image are interpolated using the Lanczos interpolator. The high frequency sub bands are passed through an NLM filter to cater for the artifacts generated by DT-CWT (despite of its nearly shift invariance). The filtered high-frequency sub bands and the LR input image are combined using inverse DT-CWT to obtain a resolution-enhanced image.We propose DWT for sub band interpolation process and we compare the resolution of satellite image enhancements using Wavelet Methods with ARSIS methods.