A Fully Embedded Two-Stage Coder for Hyperspectral Near-Lossless Compression

Jente Beerten, Ian Blanes, Joan Serra-Sagristà*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)

Abstract

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 languageAmerican English
Article number7105877
Pages (from-to)1775-1779
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume12
Issue number8
DOIs
Publication statusPublished - 1 Aug 2015

Keywords

  • Hyperspectral data
  • lossy compression
  • near-lossless compression
  • source coding

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