Multi-spectral Image Resolution Refinement Using Stationary Wavelet Transform with Marginal and Joint Statistics Modeling
نویسندگان
چکیده
Abstract. We present a pixel-level fusion method to refine the resolution of a multi-spectral image using a high-resolution panchromatic image. Our approach is an adaptation of the ARSIS method which takes into account the higher-order statistical moments of the wavelet coefficients. The use of the stationary wavelet transform allows the fusion between images of non-dyadic dimension with less “block” artefacts.
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