Non-Gaussian model-based fusion of noisy images in the wavelet domain

作者：Loza Artur^*; Bull David; Canagarajah Nishan; Achim Alin

来源：Computer Vision and Image Understanding, 2010, 114(1): 54-65.

DOI：10.1016/j.cviu.2009.09.002

• Multimodal
• Image fusion
• Statistical modelling
• Denoising

This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients. Special emphasis is placed on the fusion of noisy images The use of. families of generalised Gaussian and alpha-stable distributions for modelling image wavelet coefficients is investigated and methods for estimating distribution parameters are proposed. Improved techniques for image fusion are developed. by incorporating these models into a weighted average image fusion algorithm. The proposed method has been shown to perform very well with both noisy and noise-free images from multimodal datasets. outperforming conventional methods in terms of fusion quality and noise reduction in the fused output.

• 出版日期2010-1