No reference PSNR estimation for compressed pictures

Deepak S. Turaga, Yingwei Chen, Jorge Caviedes

Research output: Contribution to conferencePaperpeer-review

27 Scopus citations


Many user-end applications require an estimate of the quality of coded video or images without having access to the original, i.e. a no-reference quality metric. Furthermore, in many such applications the compressed video bitstream is also not available. This paper describes methods for using the statistical properties of the coded video data to estimate the quantization error caused by compression without accessing either the original pictures or the bistream. A commonly used quality metric, the Peak Signal to Noise Ratio (PSNR) is subsequently computed from the estimated quantization error. Since quantization error is the most significant loss incurred during typical coding schemes, the estimated PSNR, or any PSNR-based quality metric may be used to gauge the overall quality of the pictures.

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


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

ASJC Scopus subject areas

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


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