Dr. D. René Rasmussen Profile

Dr. D. René Rasmussen

President, Qi Analytics LLC

SPIE Involvement:

Author | Instructor

Proceedings Article | 25 January 2012 Paper

The mobile image quality survey game

D. René Rasmussen

Proceedings Volume 8293, 82930I (2012) https://doi.org/10.1117/12.905389

KEYWORDS: Image quality, Image compression, Performance modeling, Mobile devices, Diffractive optical elements, Instrument modeling, Data modeling, Computing systems, Retina, Photography

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SPIE Journal Paper | 1 January 2010 Open Access

Tent-pole spatial defect pooling for prediction of subjective quality assessment of streaks and bands in color printing

D. René Rasmussen

JEI, Vol. 19, Issue 01, 011017, (January 2010) https://doi.org/10.1117/12.10.1117/1.3280248

KEYWORDS: Visualization, Image quality, Image processing, Printing, Algorithm development, Visual process modeling, Spatial frequencies, Statistical analysis, Visual system, Scanners

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Proceedings Article | 19 January 2009 Paper

W1.1 macro uniformity

D. René Rasmussen, Frans Gaykema, Yee Ng, Kevin Donohue, William Kress, Susan Zoltner

Proceedings Volume 7242, 724204 (2009) https://doi.org/10.1117/12.805363

KEYWORDS: Printing, Standards development, Image quality standards, Image quality, Calibration, Scanners, Image processing, Colorimetry, Visualization, Photography

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Proceedings Article | 28 January 2008 Paper

INCITS W1.1 development update: appearance-based image quality standards for printers

Eric Zeise, D. René Rasmussen, Yee Ng, Edul Dalal, Ann McCarthy, Don Williams

Proceedings Volume 6808, 680802 (2008) https://doi.org/10.1117/12.772577

KEYWORDS: Printing, Image quality, Standards development, Image quality standards, Visualization, Calibration, Image processing, Inkjet technology, Quantization, Quality measurement

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Proceedings Article | 28 January 2008 Paper

Robust estimation of print mottle

Zhigang Fan, Wencheng Wu, Edul Dalal, Rene Rasmussen

Proceedings Volume 6808, 680808 (2008) https://doi.org/10.1117/12.764855

KEYWORDS: Printing, Image filtering, Image quality, Quality systems, Spatial filters, Scanners, Linear filtering, Standards development, Image quality standards, Imaging systems

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Proceedings Article | 28 January 2008 Paper

Online image quality surveys based on response time

D. René Rasmussen

Proceedings Volume 6808, 68080K (2008) https://doi.org/10.1117/12.757895

KEYWORDS: Image quality, Defect detection, Diffractive optical elements, Statistical analysis, Calibration, Performance modeling, Digital imaging, Image analysis, Image processing, Binary data

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Proceedings Article | 29 January 2007 Paper

Recent progress in the development of INCITS W1.1: appearance-based image quality standards for printers

Theodore Bouk, Edul Dalal, Kevin Donohue, Susan Farnand, Frans Gaykema, Dmitri Gusev, Allan Haley, Paul Jeran, Don Kozak, William Kress, Óscar Martinez, Dale Mashtare, Ann McCarthy, Yee Ng, D. René Rasmussen, Mark Robb, Helen Shin, Myriam Quiroga Slickers, Elisa Barney Smith, Ming-Kai Tse, Eric Zeise, Susan Zoltner

Proceedings Volume 6494, 64940K (2007) https://doi.org/10.1117/12.705588

KEYWORDS: Image quality, Printing, Standards development, Image quality standards, Visualization, Image processing, Calibration, Scanners, Inkjet technology, Digital imaging

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Proceedings Article | 17 January 2006 Paper

ISO 19751 macro-uniformity

D. René Rasmussen, Kevin Donohue, Yee Ng, William Kress, Frans Gaykema, Susan Zoltner

Proceedings Volume 6059, 60590K (2006) https://doi.org/10.1117/12.648086

KEYWORDS: Image quality, Printing, Standards development, Control systems, Image quality standards, Visualization, Image processing, Scanners, Colorimetry, Spatial frequencies

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Proceedings Article | 18 December 2003 Paper

INCITS W1.1 macro-uniformity

D. Rene Rasmussen, William Kress, Yee Ng, Marguerite Doyle, Kevin Donohue, Kate Johnson, Susan Zoltner

Proceedings Volume 5294, (2003) https://doi.org/10.1117/12.527402

KEYWORDS: Scanners, Printing, Standards development, Image quality, RGB color model, Calibration, Image quality standards, Visualization, Modulation transfer functions, Colorimetry

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Proceedings Article | 18 December 2003 Paper

Update on INCITS W1.1 standard for perceptual evaluation of micro-uniformity

Robert Zeman, William Kress, D. Rasmussen, Eric Zeise, George Chiu, Kevin Donohue, Dirk Hertel

Proceedings Volume 5294, (2003) https://doi.org/10.1117/12.525753

KEYWORDS: Image quality standards, Image quality, Image processing, Printing, Standards development, Scanners, Visualization, Electrophotography, Silver

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Proceedings Article | 18 December 2003 Paper

Predicting customer preference from objective image quality metrics for monochrome document products

Helen Shin, Edul Dalal, D. Rasmussen

Proceedings Volume 5294, (2003) https://doi.org/10.1117/12.527414

KEYWORDS: Image quality, Visualization, Statistical modeling, Printing, Composites, Scanners, Image quality standards, Visual process modeling, Halftones, Systems modeling

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Showing 5 of 11 publications

SPIE Conference Volume | 17 January 2005

Image Quality and System Performance II

SPIE Conference Volume | 18 December 2003

Image Quality and System Performance

Conference Committee Involvement (12)

Image Quality and System Performance XII

10 February 2015 | San Francisco, California, United States

Image Quality and System Performance XI

3 February 2014 | San Francisco, California, United States

Image Quality and System Performance X

5 February 2013 | Burlingame, California, United States

Image Quality and System Performance IX

24 January 2012 | Burlingame, California, United States

Image Quality and System Performance VIII

24 January 2011 | San Francisco Airport, California, United States

Showing 5 of 12 Conference Committees

Course Instructor

SC331: Color Printer Image Quality

This course provides an overview of different approaches to quantification of the image quality of output from color printers. The focus is on evaluation of color printers at the system level, that is, taking all the components into account which are important to the quality as perceived by the customer. The course discusses different methodologies, from subjective to analytical, and focuses on how to use our understanding of human visual perception to implement analytical measures.

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