PiQ: Perceptual image quantizer for wavelet image coders

Jaime Moreno, Oswaldo Morales, Ricardo Tejeida

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The aim of this work is to explain how to apply perceptual criteria in order to define a perceptual forward and inverse quantizer. We present its application to the Hi-SET coder. Our approach consists in quantizing wavelet transform coefficients using some of the human visual system behavior properties. Taking in to account that noise is fatal to image compression performance, because it can be both annoying for the observer and consumes excessive bandwidth when the imagery is transmitted. Perceptual quantization reduces unperceivable details and thus improve both visual impression and transmission properties. The comparison between JPEG2000 coder and the combination of Hi-SET with the proposed perceptual quantizer (πSET) shows that the latter is not favorable in PSNR than the former, but the recovered image is more compressed (less bit-rate) at the same or even better visual quality measured with well-know image quality metrics, such as MSSIM, UQI or VIF, for instance.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
PublisherCSREA Press
Pages450-454
Number of pages5
ISBN (Electronic)1601324049, 9781601324047
StatePublished - 2015
Externally publishedYes
Event2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 - Las Vegas, United States
Duration: 27 Jul 201530 Jul 2015

Publication series

NameProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015

Conference

Conference2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015
Country/TerritoryUnited States
CityLas Vegas
Period27/07/1530/07/15

Keywords

  • Contrast sensitivity function
  • Human visual system
  • JPEG2000
  • No-reference image quality assessment
  • Peak signal-to-noise ratio
  • Perceived images
  • Wavelet transform

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