Spatial contrast sensitivity and discrimination in pictorial images

Sophie Triantaphillidou; John Jarvis; Gaurav Gupta

doi:10.1117/12.2040007

3 February 2014 Spatial contrast sensitivity and discrimination in pictorial images

Sophie Triantaphillidou, John Jarvis, Gaurav Gupta

Proceedings Volume 9016, Image Quality and System Performance XI; 901604 (2014) https://doi.org/10.1117/12.2040007
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

This paper describes continuing research concerned with the measurement and modeling of human spatial contrast sensitivity and discrimination functions, using complex pictorial stimuli. The relevance of such functions in image quality modeling is also reviewed. Previously^1,2 we presented the choice of suitable contrast metrics, apparatus and laboratory set-up, the stimuli acquisition and manipulation, the methodology employed in the subjective tests and initial findings. Here we present our experimental paradigm, the measurement and modeling of the following visual response functions: i) Isolated Contrast Sensitivity Function (iCSF); Contextual Contrast Sensitivity Function (cCSF); Isolated Visual Perception Function (iVPF); Contextual Visual Perception Function (cVPF). Results indicate that the measured cCSFs are lower in magnitude than the iCSFs and flatter in profile. Measured iVPFs, cVPFs and cCSFs are shown to have similar profiles. Barten’s contrast detection model³ was shown to successfully predict iCSF. For a given frequency band, the reduction, or masking of cCSF compared with iCSF sensitivity is predicted from the linear amplification model (LAM)⁴. We also show that our extension of Barten’s contrast discrimination model^1,5 is capable of describing iVPFs and cVPFs. We finally reflect on the possible implications of the measured and modeled profiles of cCSF and cVPF to image quality modeling.

Citation Download Citation

Sophie Triantaphillidou, John Jarvis, and Gaurav Gupta "Spatial contrast sensitivity and discrimination in pictorial images", Proc. SPIE 9016, Image Quality and System Performance XI, 901604 (3 February 2014); https://doi.org/10.1117/12.2040007

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