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In this paper, we present an efficient compression algorithm for hyperspectral images. The last decade has seen a growing interest in the study of dictionary learning and sparse representation, which have been proved to perform well on natural image compression. Because of the special techniques of hyperspectral imaging, hyperspectral images have some distinct properties when compared with natural...
The different reflection or absorption characteristics of ground targets at different wavelength lead to diverse energy distribution among band images of hyperspectral images (HSIs). In this paper, we propose a sparse representation of HSIs using learned multi-scale dictionaries with the help of the distinctive physical characteristics. First, each band is cut into patches of different size using...
Due to all bands of hyperspectral data have the same imaging area, it is reasonable to believe that the dictionary can sparse represent one band may also represent the other bands sparsely. Based on this property, this paper presents a new compression frame for hyperspectral data using sparse representation, and a simplified algorithm under this frame is also proposed. The basic idea of the proposed...
In this paper, a fast infrared face recognition method using blood perfusion conversion and curvelet transformation is proposed. Firstly, to get the good performance of infrared face recognition from the biological feature, thermal images are converted into blood perfusion domain by blood perfusion model. Secondly, curvelet transform has better directional and edge representation abilities than widely...
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