JPEG2000 encoding with perceptual distortion control

Zhen Liu, Lina Karam, Andrew B. Watson

Research output: Contribution to journalArticle

111 Citations (Scopus)

Abstract

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
Volume15
Issue number7
DOIs
StatePublished - Jul 2006

Fingerprint

JPEG2000
Encoding
Image quality
Visual Perception
Human Perception
Masking
Summation
Image Quality
Quantization
Metric
Model

Keywords

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

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Graphics and Computer-Aided Design
  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

Cite this

JPEG2000 encoding with perceptual distortion control. / Liu, Zhen; Karam, Lina; Watson, Andrew B.

In: IEEE Transactions on Image Processing, Vol. 15, No. 7, 07.2006, p. 1763-1778.

Research output: Contribution to journalArticle

Liu, Zhen ; Karam, Lina ; Watson, Andrew B. / JPEG2000 encoding with perceptual distortion control. In: IEEE Transactions on Image Processing. 2006 ; Vol. 15, No. 7. pp. 1763-1778.
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