A no-reference objective image sharpness metric based on the notion of Just Noticeable Blur (JNB)

Rony Ferzli, Lina Karam

Research output: Contribution to journalArticle

542 Scopus citations

Abstract

This work presents a perceptual-based no-reference objective image sharpness/blurriness metric by integrating the concept of just noticeable blur into a probability summation model. Unlike existing objective no-reference image sharpness/blurriness metrics, the proposed metric is able to predict the relative amount of blurriness in images with different content. Results are provided to illustrate the performance of the proposed perceptual-based sharpness metric. These results show that the proposed sharpness metric correlates well with the perceived sharpness being able to predict with high accuracy the relative amount of blurriness in images with different content.

Original languageEnglish (US)
Pages (from-to)717-728
Number of pages12
JournalIEEE Transactions on Image Processing
Volume18
Issue number4
DOIs
StatePublished - Apr 6 2009

Keywords

  • HVS
  • Image assessment
  • Image quality
  • No-reference
  • Objective
  • Perception
  • Sharpness metric

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

Cite this