A hyperspectral image restoration technique

In this paper, a restoration technique for hyperspectral images is presented. The technique requires a low spatial resolution hyperspectral image and a high spatial resolution multispectral image of the same scene. The proposed approach applies a restoration on the hyperspectral image, while accounting for the joint statistics with the multispectral image. The restoration is based on an Expectation-Maximization algorithm, which applies a deconvolution step and a denoising step iteratively. A practical implementation scheme is presented. Simulation experiments are conducted for performance evaluation.