Paper
19 January 2009 Weighting of field heights for sharpness and noisiness
Brian W. Keelan, Elaine W. Jin
Author Affiliations +
Proceedings Volume 7242, Image Quality and System Performance VI; 72420Z (2009) https://doi.org/10.1117/12.805628
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
Weighting of field heights is important in cases when a single numerical value needs to be calculated that characterizes an attribute's overall impact on perceived image quality. In this paper we report an observer study to derive the weighting of field heights for sharpness and noisiness. One-hundred-forty images were selected to represent a typical consumer photo space distribution. Fifty-three sample points were sampled per image, representing field heights of 0, 14, 32, 42, 51, 58, 71, 76, 86% and 100%. Six observers participated in this study. The field weights derived in this report include both: the effect of area versus field height (which is a purely objective, geometric factor); and the effect of the spatial distribution of image content that draws attention to or masks each of these image structure attributes. The results show that relative to the geometrical area weights, sharpness weights were skewed to lower field heights, because sharpness-critical subject matter was often positioned relatively near the center of an image. Conversely, because noise can be masked by signal, noisiness-critical content (such as blue skies, skin tones, walls, etc.) tended to occur farther from the center of an image, causing the weights to be skewed to higher field heights.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian W. Keelan and Elaine W. Jin "Weighting of field heights for sharpness and noisiness", Proc. SPIE 7242, Image Quality and System Performance VI, 72420Z (19 January 2009); https://doi.org/10.1117/12.805628
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KEYWORDS
Image quality

Visualization

Modulation transfer functions

Photography

Interference (communication)

Signal to noise ratio

Data centers

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