Wavelet-based perceptually lossless coding of R-G-B images

Francescomaria Marino, Tinku Acharya, Lina Karam

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

A perceptually-lossless wavelet-based image compression algorithm and architecture working directly in the R-G-B color domain is proposed. Even though the highest compression ratios are achievable in the Luminance-Chrominance domain, image sensors generate data commonly in a subsampled R-G-B format. Many real-time applications (e.g., a low cost digital camera) prohibit the on-line conversion of data from R-G-B format to any other format. Therefore, in these applications, it is desirable to apply the compression directly on R-G-B data. Our compression scheme is based on derived perceptually-lossless quantizing thresholds, and can be mapped into an ASIC yielding very high throughput. Examples illustrating the performance of the coder are presented.

Original languageEnglish (US)
Pages (from-to)117-134
Number of pages18
JournalIntegrated Computer-Aided Engineering
Volume7
Issue number2
DOIs
StatePublished - 2000

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Artificial Intelligence

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