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Nearly-lossless autoregressive image compression

  • Louisiana State University

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A flexible accurate technique for improving image compression properties with linear image compressing transforms is presented. This is a reliable iterative algorithm for the nearly-lossless autoregressive (NLAR) compression of images, which permits control of errors produced in each pixel intensity while preserving the original image intensity range. The convergence of this new algorithm is demonstrated, both theoretically and numerically. Its relationship to other types of nearly-lossless compression, as well as to traditional lossless and lossy approaches, is discussed.

Original languageEnglish
Pages (from-to)221-228
Number of pages8
JournalPattern Recognition Letters
Volume20
Issue number2
DOIs
StatePublished - Feb 1999

Keywords

  • Autoregressive model
  • DPCM
  • Entropy
  • Lossy compression
  • Nearly-lossless compression

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