A no-reference objective image quality metric based on perceptually weighted local noise

Tong Zhu, Lina Karam

Research output: Contribution to journalArticle

27 Scopus citations


This work proposes a perceptual based no-reference objective image quality metric by integrating perceptually weighted local noise into a probability summation model. Unlike existing objective metrics, the proposed no-reference metric is able to predict the relative amount of noise perceived in images with different content, without a reference. Results are reported on both the LIVE and TID2008 databases. The proposed no-reference metric achieves consistently a good performance across noise types and across databases as compared to many of the best very recent no-reference quality metrics. The proposed metric is able to predict with high accuracy the relative amount of perceived noise in images of different content.

Original languageEnglish (US)
Article number5
JournalEurasip Journal on Image and Video Processing
StatePublished - Jan 1 2014


ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Electrical and Electronic Engineering

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