This article proposes high-order balanced multi-band multiwavelet packet transforms for denoising remote sensing images. First, properties of several wavelet transforms and their relationships are analyzed. The article then presents theoretical principles and a fast algorithm for constructing high-order balanced multi-band multiwavelet packet transforms. The remote sensing image denoising method based on this transform scheme is then described, and its utility is demonstrated by illustrative results of its application to denoise remote sensing images. The method provides clear improvements in denoising quality, due to the balanced order or band number, consistently outperforming traditional wavelet transform-based methods in terms of both visual quality and evaluation indicators. The method also incurs reasonable computational costs compared with the traditional methods.
['Haijiang Wang', 'Jingpu Wang', 'Hai Jin', 'Lihong Li', 'Dongli Jia', 'Yongqiang Ma', 'Yongmei Liu', 'Fuqi Yao', 'Qinke Yang']
High-order balanced M-band multiwavelet packet transform-based remote sensing image denoising