Robust pan-sharpening via color samples relocation and edge aware interpolation

We present a pan-sharpening method that can produce high quality high-resolution multispectral image by fusing a high-resolution panchromatic image with a low resolution multispectral image. The major benefits of our approach are the color samples relocation algorithm and the optimization based edge aware interpolation method which protect the reconstructed images from aliasing and color diffusion artifacts around edge areas that are commonly arose in previous pan-sharpening algorithms. Our approach is robust to misalignment errors between the high-resolution panchromatic image and the low resolution multispectral image. We evaluate our results quantitatively and qualitatively on both synthetic and real world satellite images.