No-reference quality metric for degraded and enhanced video

Jorge E. Caviedes, Franco Oberti

Research output: Contribution to journalConference articlepeer-review

30 Scopus citations


In this paper we present a no-reference objective quality metric (NROQM) that has resulted from extensive research on impairment metrics, image feature metrics, and subjective image quality in several projects in Philips Research, and participation in the ITU Video Quality Experts Group. The NROQM is aimed at requirements including video algorithm development, embedded monitoring and control of image quality, and evaluation of different types of display systems. NROQM is built from metrics for desirable and non-desirable image features (sharpness, contrast, noise, clipping, ringing, and blocking artifacts), and accounts for their individual and combined contributions to perceived image quality. We describe our heuristic, incremental approach to modeling quality and training the NROQM, and its advantages to deal with imperfect data and imperfect metrics. The results of training the NROQM using a large set of video sequences, which include degraded and enhanced video, show high correlation between objective and subjective scores, and the results of the first performance test show good objective-subjective correlations as well. We also discuss issues that require further research such as fully content-independent metrics, measuring over-enhanced video quality, and the role of temporal impairment metrics.

Original languageEnglish (US)
Pages (from-to)621-632
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5150 I
StatePublished - 2003
Externally publishedYes
EventVisual Communications and Image Processing 2003 - Lugano, Switzerland
Duration: Jul 8 2003Jul 11 2003


  • No-reference image quality
  • Objective image quality metric
  • Video impairment metric

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'No-reference quality metric for degraded and enhanced video'. Together they form a unique fingerprint.

Cite this