A Study of the Perceptually Weighted Peak Signal-to-Noise Ratio (WPSNR) for Image Compression

Johannes Erfurt, Christian R. Helmrich, Senior Member, IEEE, Sebastian Bosse, Heiko Schwarz, Detlev Marpe, Fellow, IEEE, and Thomas Wiegand, Fellow, IEEE

The above paper has been accepted for presentation at the IEEE International Conference on Image Processing (ICIP) in Taipei, Taiwan in September 2019.  This page contains supplementary information on the publication and a visual demo.

  1. Corrections to the ICIP submitted version of the paper as of May 2019

  2. Visual demonstrations of the WPSNR perceptual sensitivity weighting

  1. Corrections to the International Conference on Image Processing submitted version as of May 2019

    There are no known issues with the document.  The submitted version of the paper is available here:  link to document ICIP manuscript
    For the published version, a reference to this web page and the following additional sentence have been added in Sec. 1:

    “Unless noted otherwise, the WPSNR parameters were chosen using other test images and videos than those employed in this study.”


  2. Subjective demonstrations of the sensitivity weighting in the perceptually weighted PSNR measure

    The following illustrations demonstrate the block or sample-wise visual sensitivity weighting in the WPSNR metric.  These weights can be used to control a perceptually optimized quantizer in codecs like High-Efficiency Video Coding (HEVC) [1] or Versatile Video Coding (VVC) [2, 3].  A dark (blue) color indicates a high visual activity and low weight w < 1 while a bright (orange) color means a low activity and high weight w > 1.

    Lena, luminance channel, original image

    Lena, luminance channel, bWPSNR weights     Lena, luminance channel, sWPSNR weights     color legend

    link to external web page Lena image, top: original, left: block-wise bWPSNR sensitivity weights, center: sample-wise sWPSNR sensitivity weights, right: color legend.

    BQTerrace, luminance channel, original image

    BQTerrace, luminance channel, bWPSNR weights     BQTerrace, luminance channel, sWPSNR weights     color legend

    BQTerrace image, top: original, left: block-wise bWPSNR sensitivity weights, center: sample-wise sWPSNR sensitivity weights, right: legend.

Please note that the layout or content of this web page may change.  If it does, the date in the following line will be updated.

Christian R. Helmrich and Johannes Erfurt, May 3, 2019



References

[1]  ITU-T, Recommendation H.265 and ISO/IEC, Int. Standard 23008-2, “High efficiency video coding,” Geneva, Switzerland, Feb. 2018. Online:
       link to external web page http://www.itu.int/rec/T-REC-H.265

[2]  B. Bross, J. Chen, S. Liu, “Versatile Video Coding (Draft 5),” MPEG/JVET output document N1001, Geneva, Switzerland, May 2019. Online:
       link to external web page http://phenix.it-sudparis.eu/jvet/doc_end_user/current_document.php?id=6640

[3]  JVET, “VVCSoftware_VTM: VVC VTM reference software,” May 2019. Online: link to external web page https://vcgit.hhi.fraunhofer.de/jvet/VVCSoftware_VTM/tags