1 July 1998 Computational visual distinctness metric
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Optical Engineering, 37(7), (1998). doi:10.1117/1.602030
Abstract
A new computational visual distinctness metric based on principles of the early human visual system is presented. The metric is applied to quantify (1) the visual distinctness of targets in complex natural scenes and (2) the perceptual differences between compressed and uncompressed images. The new metric is shown (1) to predict human observer performance in search and detection tasks on complex natural imagery, (2) to correlate with visual target distinctness estimated by human observers, and (3) to correlate with the quality factor of Joint Photographic Experts Group (JPEG) compressed imagery.
Javier Martinez-Baena, Alexander Toet, Xose R. Fernandez-Vidal, Antonio Luis Cabrera Garrido, Rosa Rodriguez-Sanchez, "Computational visual distinctness metric," Optical Engineering 37(7), (1 July 1998). http://dx.doi.org/10.1117/1.602030
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KEYWORDS
Visualization

Image compression

Spatial frequencies

Image filtering

Target detection

Image quality

Sensors

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