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Proceedings Paper

A compressive sensing approach to perceptual image coding
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Paper Abstract

There exist limitations in the human visual system (HVS) which allow images and video to be reconstructed using fewer bits for the same perceived image quality. In this paper we will review the basis of spatial masking at edges and show a new method for generating a just-noticeable distortion (JND) threshold. This JND threshold is then used in a spatial noise shaping algorithm using a compressive sensing technique to provide a perceptual coding approach for JPEG2000 coding of images. Results of subjective tests show that the new spatial noise shaping framework can provide significant savings in bit-rate compared to the standard approach. The algorithm also allows much more precise control of distortion than existing spatial domain techniques and is fully compliant with part 1 of the JPEG2000 standard.

Paper Details

Date Published: 7 September 2010
PDF: 11 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77981E (7 September 2010); doi: 10.1117/12.863466
Show Author Affiliations
Mark R. Pickering, Univ. of New South Wales (Australia)
Junyong You, Norwegian Univ. of Science and Technology (Norway)
Touradj Ebrahimi, Norwegian Univ. of Science and Technology (Norway)
Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Andrew Perkis, Norwegian Univ. of Science and Technology (Norway)

Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

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