Corrupted image quality assessment

Date of Award

2012

Degree Name

M.S. in Electrical Engineering

Department

Department of Electrical and Computer Engineering

Advisor/Chair

Advisor: Keigo Hirakawa

Abstract

We propose a foundation for assessing visual quality with corrupted reference" (CR-QA) - a new quality assessment (QA) paradigm for reasoning about human vision and image restoration problems jointly. The visual quality of a processed image signal is assessed relative to an ideal reference image (not provided) with the help of observed image. This is in contrast to today's QAs, which are optimized for a "post-hoc" usage (process first, assess quality second) and are unequipped to handle the assessment of the processed data relative to the ideal reference that exist only in theory and not in practice."

Keywords

Image analysis, Imaging systems Image quality, Vision

Rights Statement

Copyright © 2012, author

Link to Full Text

Share

COinS