Abstract

The effect of noise and blur on image quality is investigated using human evaluations of images. Below SNR of 10 resolution is limited by noise and is insensitive to blur level. The VIF model is shown to accurately follow the human response.

© 2014 Optical Society of America

PDF Article
More Like This
Information Theoretic Based Image Quality Evaluation

David R. Gerwe, Carlos E. Luna, and Brandoch Calef
STuC1 Signal Recovery and Synthesis (SRS) 2009

Visualization of Photocurrents in Nanoobjects by Ultrafast Low-Energy Electron Point-Projection Imaging

M. Müller, A. Paarmann, and R. Ernstorfer
08.Tue.B.1 International Conference on Ultrafast Phenomena (UP) 2014

Accommodation-dependent Holographic Images Quality Evaluation based on Human Visual System

Jeho Nam, Minsik Park, and Seunghyup Shin
HTh4H.7 Digital Holography and Three-Dimensional Imaging (DH) 2020

View More...

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription