JPEG2000 encoding with perceptual distortion control

Zhen Liu, Lina Karam, Andrew B. Watson

Research output: Contribution to journalArticlepeer-review

128 Scopus citations


In this paper, a new encoding approach is proposed to control the JPEG2000 encoding in order to reach a desired perceptual quality. The new method is based on a vision model that incorporates various masking effects of human visual perception and a perceptual distortion metric that takes spatial and spectral summation of individual quantization errors into account. Compared with the conventional rate-based distortion minimization JPEG2000 encoding, the new method provides a way to generate consistent quality images at a lower bit rate.

Original languageEnglish (US)
Pages (from-to)1763-1778
Number of pages16
JournalIEEE Transactions on Image Processing
Issue number7
StatePublished - Jul 2006


  • Distortion control
  • Embedded coding
  • Human visual system (HVS)
  • JPEG2000
  • Perception

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design


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