Hyperspectral image restoration and coding

Hyperspectral images consist of the same image taken in different spectral bands. These images exhibit high correlation between the pixels in both the spatial and spectral dimensions. It is desirable to design a filter that takes advantage of this property. We implement an image restoration system and a coding system using a multidimensional filter. The image restoration system restores the lost samples and removes the additive noise using the least mean square (LMS) algorithm. For hyperspectral image coding, we use adaptive differential pulse code modulation (ADPCM) to achieve high compression of the image cube. Experimental results are very promising and illustrate the performance of the multidimensional filter.