A pansharpening method based on modified cartoon plus texture decomposition

ABSTRACT

In this paper, a new pansharpening method is proposed to obtain high resolution multi spectral image, while preserving spectral signature. Spectral information is considered to be a piecewise smooth area with almost clear boundaries, and is represented in the cartoon space. Spatial information is described by the orthogonal complement of the cartoon space, which is the texture space. Therefore, remote sensing (RS) images can be transferred to a new space by the cartoon plus texture (CPT) decomposition, where spatial and spectral information can be discriminated properly, and pansharpening is done by substituting multispectral texture components with panchromatic texture component. However, cartoon components of the multispectral bands remains unchanged, and the edges and boundaries of the fused image do not sharpen enough. Therefore, we propose a new decomposition model, using the gradient of the panchromatic cartoon component, to fortify boundaries and some important details, while preserving spectral quality. The proposed method is compared with the well-known classic pansharpening methods. Experimental results show that the proposed method has a better performance in terms of both spatial and spectral qualities, however, it is not efficient in terms of computing time.