Paper
3 March 2014 Full-color visibility model using CSF which varies spatially with local luminance
Alastair Reed, David Berfanger, Yang Bai, Kristyn Falkenstern
Author Affiliations +
Proceedings Volume 9027, Imaging and Multimedia Analytics in a Web and Mobile World 2014; 902705 (2014) https://doi.org/10.1117/12.2045408
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
A full color visibility model has been developed that uses separate contrast sensitivity functions (CSFs) for contrast variations in luminance and chrominance (red-green and blue-yellow) channels. The width of the CSF in each channel is varied spatially depending on the luminance of the local image content. The CSF is adjusted so that more blurring occurs as the luminance of the local region decreases. The difference between the contrast of the blurred original and marked image is measured using a color difference metric. This spatially varying CSF performed better than a fixed CSF in the visibility model, approximating subjective measurements of a set of test color patches ranked by human observers for watermark visibility. The effect of using the CIEDE2000 color difference metric compared to CIEDE1976 (i.e., a Euclidean distance in CIELAB) was also compared.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alastair Reed, David Berfanger, Yang Bai, and Kristyn Falkenstern "Full-color visibility model using CSF which varies spatially with local luminance", Proc. SPIE 9027, Imaging and Multimedia Analytics in a Web and Mobile World 2014, 902705 (3 March 2014); https://doi.org/10.1117/12.2045408
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CITATIONS
Cited by 18 patents.
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KEYWORDS
Visibility

Digital watermarking

CMYK color model

Convolution

Color difference

Image filtering

Visual process modeling

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