Share Email Print
cover

Proceedings Paper

A new image quality assessment database for tiled images
Author(s): Steven B. McFadden; Paul A. S. Ward
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Tiled displays fill the increasingly important need to display very large images. As these displays become more common, the ability to objectively measure their visual quality becomes more important. One cost of the size flexibility offered by these displays is the grid-type distortion created by the gaps between each sub-display's active area. General purpose Image Quality Assessment (IQA) metrics are commonly used to measure the visual quality effect of image distortions such as blur and white noise, but no research has been performed to determine their suitability for tiling distortions. This paper addresses that research gap by creating a new image quality database specifically targeting tiled images. Common state-of-the-art IQA metrics are tested against this new database and their performances are compared between tiled distortions and `traditional' image distortions.

Paper Details

Date Published: 3 February 2014
PDF: 10 pages
Proc. SPIE 9016, Image Quality and System Performance XI, 90160X (3 February 2014); doi: 10.1117/12.2037969
Show Author Affiliations
Steven B. McFadden, Univ. of Waterloo (Canada)
Paul A. S. Ward, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 9016:
Image Quality and System Performance XI
Sophie Triantaphillidou; Mohamed-Chaker Larabi, Editor(s)

© SPIE. Terms of Use
Back to Top