Mr. Paul A. Ardis Profile

Paul A. Ardis

at Univ of Rochester

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 16 February 2010 Paper

Digital analysis and restoration of Daguerreotypes

Xiaoqing Tang, Paul Ardis, Ross Messing, Christopher Brown, Randal Nelson, Patrick Ravines, Ralph Wiegandt

Proceedings Volume 7531, 75310A (2010) https://doi.org/10.1117/12.838692

KEYWORDS: Panoramic photography, Image enhancement, Polishing, Image processing, Photography, Analytical research, Image filtering, Sensors, Image resolution, Composites

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Proceedings Article | 18 January 2010 Paper

Maximizing inpainting efficiency without sacrificing quality

Paul Ardis, Christopher Brown

Proceedings Volume 7529, 75290U (2010) https://doi.org/10.1117/12.837772

KEYWORDS: Video, Visualization, Composites, Visual process modeling, Image processing, Image quality, Data modeling, Video surveillance, Optimization (mathematics), RGB color model

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SPIE Journal Paper | 1 January 2010

Inpainting quality assessment

Paul Ardis, Christopher Brown, Amit Singhal

JEI, Vol. 19, Issue 01, 011002, (January 2010) https://doi.org/10.1117/12.10.1117/1.3267088

KEYWORDS: Image quality, Digital imaging, Image filtering, Visualization, Image classification, Optical filters, Video, Visual process modeling, Image segmentation, Eye

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Proceedings Article | 19 January 2009 Paper

Visual salience metrics for image inpainting

Paul Ardis, Amit Singhal

Proceedings Volume 7257, 72571W (2009) https://doi.org/10.1117/12.808942

KEYWORDS: Visualization, Visual process modeling, Photography, Solids, Digital photography, Machine vision, Computer vision technology, Video, Visual communications, Image processing

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Proceedings Article | 19 January 2009 Paper

Depth-from-trajectories for uncalibrated multiview video

Paul Ardis, Amit Singhal, Christopher Brown

Proceedings Volume 7252, 725209 (2009) https://doi.org/10.1117/12.806816

KEYWORDS: Video, Cameras, Motion models, Matrices, Calibration, Optimization (mathematics), Performance modeling, Video processing, Machine vision, Computer vision technology

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