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.
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Citation
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 (February 4, 2013); doi:10.1117/12.2006227; http://dx.doi.org/10.1117/12.2006227
