Paper
4 February 2013 Grouping strategies to improve the correlation between subjective and objective image quality data
Author Affiliations +
Proceedings Volume 8653, Image Quality and System Performance X; 86530D (2013) https://doi.org/10.1117/12.2006227
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States
Abstract
The aim of our research is to specify experimentally and further model spatial frequency response functions, which quantify human sensitivity to spatial information in real complex images. Three visual response functions are measured: the isolated Contrast Sensitivity Function (iCSF), which describes the ability of the visual system to detect any spatial signal in a given spatial frequency octave in isolation, the contextual Contrast Sensitivity Function (cCSF), which describes the ability of the v isual system to detect a spatial signal in a given octave in an image and the contextual Visual Perception Function (VPF), which describes visual sensitivity to changes in suprathreshold contrast in an image. In this paper we present relevant background, along with our first attempts to derive experimentally and further model the VPF and CSFs. We examine the contrast detection and discrimination frameworks developed by Barten, which we find prov ide a sound starting position for our own modeling purposes. Progress is presented in the following areas: verification of the chosen model for detection and discrimination; choice of contrast metrics for defining contrast sensitivity; apparatus, laboratory set-up and imaging system characterization; stimuli acquisition and stimuli variations; spatial decomposition; methodology for subjective tests. Initial iCSFs are presented and compared with 'classical' findings that hav e used simple visual stimuli, as well as with more recent relevant work in the literature.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Silvia Corchs, Francesca Gasparini, and Raimondo Schettini "Grouping strategies to improve the correlation between subjective and objective image quality data", Proc. SPIE 8653, Image Quality and System Performance X, 86530D (4 February 2013); https://doi.org/10.1117/12.2006227
Lens.org Logo
CITATIONS
Cited by 5 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image quality

Databases

Image analysis

Radium

Signal detection

Visualization

Contrast sensitivity

RELATED CONTENT

A database for spectral image quality
Proceedings of SPIE (February 08 2015)
SPCA a no reference image quality assessment based on...
Proceedings of SPIE (February 04 2013)
Image quality: a tool for no-reference assessment methods
Proceedings of SPIE (January 24 2011)
A no reference image quality metric for blur and ringing...
Proceedings of SPIE (January 24 2012)

Back to Top