Dr. Jon M. Speigle Profile

Dr. Jon M. Speigle

at Sharp Labs of America Inc

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Author

Publications (5)

Proceedings Article | 25 January 2012 Paper

Optimal gamut volume design for three primary and multiprimary display systems

Carlos Eduardo Rodríguez-Pardo, Ibrahim Sezan, Jon Speigle, Gaurav Sharma, Xiao-Fan Feng

Proceedings Volume 8292, 82920C (2012) https://doi.org/10.1117/12.910064

KEYWORDS: Displays, LCDs, Systems modeling, Digital Light Processing, Spectral models, Light, Optical filters, Protactinium, Colorimetry, Light emitting diodes

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SPIE Journal Paper | 1 April 2010

2PFC^TM (two pixels, full color): Image sensor demosaicing and characterization

Daniel Tamburrino, Jon Speigle, Douglas Tweet, Jong-Jan Lee

JEI, Vol. 19, Issue 02, 021103, (April 2010) https://doi.org/10.1117/12.10.1117/1.3373512

KEYWORDS: Optical filters, Sensors, Image sensors, Digital filtering, RGB color model, Image filtering, Diodes, Signal to noise ratio, Reconstruction algorithms, Modulation transfer functions

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Proceedings Article | 10 February 2009 Paper

Application of a visual model to the design of an ultra-high definition upscaler

Dean Messing, Jon Speigle, Scott Daly

Proceedings Volume 7240, 72401S (2009) https://doi.org/10.1117/12.811784

KEYWORDS: Visualization, Visual process modeling, RGB color model, Bismuth, Modulation transfer functions, Algorithm development, Optical transfer functions, Data modeling, Image quality, Monochromatic aberrations

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Proceedings Article | 19 January 2009 Paper

2PFC CMOS image sensors: better image quality at lower cost

Jong-Jan Lee, Daniel Tamburrino, Jon Speigle, Douglas Tweet

Proceedings Volume 7250, 725007 (2009) https://doi.org/10.1117/12.810177

KEYWORDS: Optical filters, Diodes, Silicon, Quantum efficiency, Sensors, RGB color model, Photodiodes, CMOS sensors, Data modeling, Spatial resolution

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Proceedings Article | 30 May 2002 Paper

Practical applications that require some of the more advanced features of current visual models

Scott Daly, Xiaofan Feng, Jon Speigle

Proceedings Volume 4662, (2002) https://doi.org/10.1117/12.469504

KEYWORDS: Visual process modeling, Visualization, RGB color model, Data modeling, Image scaling, Visibility, Signal detection, Image filtering, Image quality, Fluctuations and noise

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