Quality-aware images

Zhou Wang, Guixing Wu, Hamid Rahim Sheikh, Eero P. Simoncelli, En Hui Yang, Alan Conrad Bovik

Research output: Contribution to journalArticle

Abstract

We propose the concept of quality-aware image, in which certain extracted features of the original (high-quality) image are embedded into the image data as invisible hidden messages. When a distorted version of such an image is received, users can decode the hidden messages and use them to provide an objective measure of the quality of the distorted image. To demonstrate the idea, we build a practical quality-aware image encoding, decoding and quality analysis system,A MATLAB implementation of the system is available online at http:// www.cns.nyu.edu/lcv/qaware. which employs: 1) a novel reduced-reference image quality assessment algorithm based on a statistical model of natural images and 2) a previously developed quantization watermarking-based data hiding technique in the wavelet transform domain.

Original languageEnglish (US)
Pages (from-to)1680-1689
Number of pages10
JournalIEEE Transactions on Image Processing
Volume15
Issue number6
DOIs
StatePublished - Jun 2006

Keywords

  • Generalized Gaussian density (GGD)
  • Image communication
  • Image quality assessment
  • Image watermarking
  • Information hiding
  • Natural image statistics
  • Quality-aware image
  • Reduced-reference image quality assessment

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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    Wang, Z., Wu, G., Sheikh, H. R., Simoncelli, E. P., Yang, E. H., & Bovik, A. C. (2006). Quality-aware images. IEEE Transactions on Image Processing, 15(6), 1680-1689. https://doi.org/10.1109/TIP.2005.864165