Cluster Sparsity Field for Hyperspectral Imagery Denoising

@inproceedings{Zhang2016ClusterSF,
  title={Cluster Sparsity Field for Hyperspectral Imagery Denoising},
  author={Lei Zhang and Wei Wei and Yanning Zhang and Chunhua Shen and Anton van den Hengel and Qinfeng Shi},
  booktitle={ECCV},
  year={2016}
}
Motivation: Hyperspectral Imagery Denoising: • Hyperspectral images (HSIs) often suffer from noise corruption. • Correlation across spectrum and spatial similarity in HSIs are useful for denoising, but how to fully exploit them together is seldom studied. The Proposed Method: A cluster sparsity field based HSIs denoising (CSFHD) method: • The CSF prior jointly models the correlation across spectrum and spatial similarity of an HSI with the sparse representation model. • The state-of-the-art… CONTINUE READING
BETA

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 10 CITATIONS

Similar Papers

Loading similar papers…