A novel technique to resample high resolution remote sensing satellite data

Image resampling is required for many image processing applications. Although several techniques are available, still better method is to be evolved to maintain the sharpness and pixel break at higher magnification level for photographic and digital display of high resolution satellite images. Sampling theorem establishes that the sinc function is the ideal interpolation function, which is an impulse response (IIR) digital filter with no recursive form. Hence the filter is non-causal and physically non-realizable, however the interpolation filter with impulse response of sinc function can be truncated at some extent to left and right of the origin. The resulting spectrum is nearly an ideal low-pass filter, however it has a fairly sharp transition from the pass band to the stop band and it is plagued by ringing. Using a different windowing function, which enables smoother fall off than the rectangle can mitigate ringing. We studied different windowing functions and concluded the best window function to resample the high resolution Remote Sensing satellite data.