Abstract
© 2004-2012 IEEE. This letter proposes a near-lossless coder for hyperspectral images. The coding technique is fully embedded and minimizes the distortion in the l2-norm initially and in the l∞-norm subsequently. Based on a two-stage near-lossless compression scheme, it includes a lossy and a near-lossless layer. The novelties are the observation of the convergence of the entropy of the residuals in the original domain and in the spectral-spatial transformed domain and an embedded near-lossless layer. These contributions enable a progressive transmission while optimizing both signal-to-noise ratio (SNR) and peak absolute error (PAE) performance. The embeddedness is accomplished by bitplane encoding plus arithmetic encoding. Experimental results suggest that the proposed method yields a highly competitive coding performance for hyperspectral images, outperforming multicomponent JPEG2000 for the l∞-norm and pairing its performance for the l2-norm, and also outperforming M-CALIC in the near-lossless case, i.e., for PAE ≥ 5.
Original language | English |
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Article number | 7105877 |
Pages (from-to) | 1775-1779 |
Journal | IEEE Geoscience and Remote Sensing Letters |
Volume | 12 |
Issue number | 8 |
DOIs | |
Publication status | Published - 1 Aug 2015 |
Keywords
- Hyperspectral data
- lossy compression
- near-lossless compression
- source coding