Paper
3 February 2014 Perceptibility and acceptability of JPEG 2000 compressed images of various scene types
Author Affiliations +
Proceedings Volume 9016, Image Quality and System Performance XI; 90160W (2014) https://doi.org/10.1117/12.2042582
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
This investigation examines the relationships between image fidelity, acceptability thresholds and scene content for images distorted by lossy compression. Scene characteristics of a sample set of images, with a wide range of representative scene content, were quantified, using simple measures (scene metrics), which had been previously found to correlate with global scene lightness, global contrast, busyness, and colorfulness. Images were compressed using the lossy JPEG 2000 algorithm to a range of compression ratios, progressively introducing distortion to levels beyond the threshold of detection. Twelve observers took part in a paired comparison experiment to evaluate the perceptibility threshold compression ratio. A further psychophysical experiment was conducted using the same scenes, compressed to higher compression ratios, to identify the level of compression at which the images became visually unacceptable. Perceptibility and acceptability thresholds were significantly correlated for the test image set; both thresholds also correlated with the busyness metric. Images were ranked for the two thresholds and were further grouped, based upon the relationships between perceptibility and acceptability. Scene content and the results from the scene descriptors were examined within the groups to determine the influence of specific common scene characteristics upon both thresholds.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Elizabeth Allen, Sophie Triantaphillidou, and Ralph Jacobson "Perceptibility and acceptability of JPEG 2000 compressed images of various scene types", Proc. SPIE 9016, Image Quality and System Performance XI, 90160W (3 February 2014); https://doi.org/10.1117/12.2042582
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Cited by 7 scholarly publications.
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KEYWORDS
Image compression

Distortion

Image processing

Image quality

Chromium

Visualization

Error analysis

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