Perceptual Color Characterization of Cameras
Copyright policy )Perceptual Color Characterization of Cameras
Color camera characterization, mapping outputs from the camera sensors to an independent color space, such as \(XYZ\), is an important step in the camera processing pipeline. Until now, this procedure has been primarily solved by using a \(3 \times 3\) matrix obtained via a least-squares optimization. In this paper, we propose to use the spherical sampling method, recently published by Finlayson al., to perform a perceptual color characterization. In particular, we search for the \(3 \times 3\) matrix that minimizes three different perceptual errors, one pixel based and two spatially based. For the pixel-based case, we minimize the CIE \(\Delta E\) error, while for the spatial-based case, we minimize both the S-CIELAB error and the CID error measure. Our results demonstrate an improvement of approximately 3for the \(\Delta E\) error, 7& for the S-CIELAB error and 13% for the CID error measures.
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Chemical technology, Color, Reproducibility of Results, Color characterization, TP1-1185, Equipment Design, Sensitivity and Specificity, Article, Equipment Failure Analysis, camera sensor response, Image Interpretation, Computer-Assisted, Photography, Colorimetry, perceptual correction, Camera sensor response, Perceptual correction, color sensors, color characterization, Algorithms, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Chemical technology, Color, Reproducibility of Results, Color characterization, TP1-1185, Equipment Design, Sensitivity and Specificity, Article, Equipment Failure Analysis, camera sensor response, Image Interpretation, Computer-Assisted, Photography, Colorimetry, perceptual correction, Camera sensor response, Perceptual correction, color sensors, color characterization, Algorithms, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).29 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!