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Proceedings Article

Using full-reference image quality metrics for automatic image sharpening

[+] Author Affiliations
Lukáš Krasula, Karel Fliegel, Miloš Klíma

Czech Technical Univ. in Prague (Czech Republic)

Patrick Le Callet

IRCCyN, CNRS, LUNAM Univ. (France)

Proc. SPIE 9138, Optics, Photonics, and Digital Technologies for Multimedia Applications III, 913807 (May 15, 2014); doi:10.1117/12.2052275
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From Conference Volume 9138

  • Optics, Photonics, and Digital Technologies for Multimedia Applications III
  • Peter Schelkens; Touradj Ebrahimi; Gabriel Cristóbal; Frédéric Truchetet; Pasi Saarikko
  • Brussels, Belgium | April 14, 2014

abstract

Image sharpening is a post-processing technique employed for the artificial enhancement of the perceived sharpness by shortening the transitions between luminance levels or increasing the contrast on the edges. The greatest challenge in this area is to determine the level of perceived sharpness which is optimal for human observers. This task is complex because the enhancement is gained only until the certain threshold. After reaching it, the quality of the resulting image drops due to the presence of annoying artifacts. Despite the effort dedicated to the automatic sharpness estimation, none of the existing metrics is designed for localization of this threshold. Nevertheless, it is a very important step towards the automatic image sharpening. In this work, possible usage of full-reference image quality metrics for finding the optimal amount of sharpening is proposed and investigated. The intentionally over-sharpened "anchor image" was included to the calculation as the "anti-reference" and the final metric score was computed from the differences between reference, processed, and anchor versions of the scene. Quality scores obtained from the subjective experiment were used to determine the optimal combination of partial metric values. Five popular fidelity metrics - SSIM, MS-SSIM, IW-SSIM, VIF, and FSIM - were tested. The performance of the proposed approach was then verified in the subjective experiment. © (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Topics

Image quality
Citation

Lukáš Krasula ; Karel Fliegel ; Patrick Le Callet and Miloš Klíma
" Using full-reference image quality metrics for automatic image sharpening ", Proc. SPIE 9138, Optics, Photonics, and Digital Technologies for Multimedia Applications III, 913807 (May 15, 2014); doi:10.1117/12.2052275; http://dx.doi.org/10.1117/12.2052275


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