No-reference sharpness metric based on local edge kurtosis

Jorge Caviedes, Sabri Gurbuz

Research output: Contribution to conferencePaperpeer-review

104 Scopus citations

Abstract

Sharpness metrics that use the frequency spectrum of the image cannot separate the sharpness information from the scene content. Sharpness metrics that use spatial gradients of the edges of objects work only for comparisons among versions of the same image. We have developed a content independent, no-reference metric. In this approach, we create an edge profile by detecting edge pixels and enclosing them with 8×8 pixel blocks. For each block we compute sharpness using Kurtosis of the DCT. The final metric is the average sharpness of the blocks in the edge profile. The advantages of this method include robust combination of spatial and frequency domain information, flexibility in the edge detection component, and a normalized sharpness scale. The results show high correlation with subjective quality for sharpness-enhanced video.

Original languageEnglish (US)
PagesIII/53-III/56
StatePublished - Jan 1 2002
Externally publishedYes
EventInternational Conference on Image Processing (ICIP'02) - Rochester, NY, United States
Duration: Sep 22 2002Sep 25 2002

Other

OtherInternational Conference on Image Processing (ICIP'02)
Country/TerritoryUnited States
CityRochester, NY
Period9/22/029/25/02

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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