Paper
3 February 2006 Local luminance effect on spatial summation in the foveal vision and its implication on image artifact classification
Chien-Chung Chen, San-Yuan Lin, Hui-Ya G. Han, Sheng-Tzung Kuo, Kuo-Chung Huang
Author Affiliations +
Proceedings Volume 6057, Human Vision and Electronic Imaging XI; 605703 (2006) https://doi.org/10.1117/12.642010
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
We investigated the spatial summation effect on pedestals with difference luminance. The targets were luminance modulation defined by Gaussian functions. The size of the Gaussian spot was determined by the scale parameter (standard deviation, σ) which ranged from 0.13°to 1.04°. The local luminance pedestal (2° radius) had mean luminance ranged from 2.9 to 29cd/m2. The no-pedestal condition had a mean luminance 58cd/m2. We used a QUEST adaptive threshold seeking procedure and 2AFC paradigm to measure the target contrast threshold at different target sizes (spatial summation curve) and pedestal luminance. The target threshold decreased as the target spatial extent increased with a slope -0.5 on log-log coordinates. However, if the target size was large enough (σ>0.3°), there was little, if any, threshold reduction as the target size further increased. The spatial summation curve had the same shape at all pedestal luminance levels. The effect of the pedestal was to shift the summation curve vertically on log-log coordinates. Hence, the size and the luminance effects on target detection are separable. The visibility of the Gaussian spot can be modeled by a function with a form f(L)*g(σ) where f(L) is a function of local luminance and g(σ) is a function of size.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chien-Chung Chen, San-Yuan Lin, Hui-Ya G. Han, Sheng-Tzung Kuo, and Kuo-Chung Huang "Local luminance effect on spatial summation in the foveal vision and its implication on image artifact classification", Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 605703 (3 February 2006); https://doi.org/10.1117/12.642010
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KEYWORDS
Visualization

Visibility

Optical filtering

Visual process modeling

Data modeling

Target detection

Linear filtering

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