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Dive into the research topics where Kristyn R. Falkenstern is active.

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Featured researches published by Kristyn R. Falkenstern.


Proceedings of SPIE | 2014

Full-color visibility model using csf which varies spatially with local luminance

Alastair M. Reed; Kristyn R. Falkenstern; David Berfanger; Yang Bai

A full color visibility model has been developed that uses separate contrast sensitivity functions (CSFs) for contrast variations in luminance and chrominance (red-green and blue-yellow) channels. The width of the CSF in each channel is varied spatially depending on the luminance of the local image content. The CSF is adjusted so that more blurring occurs as the luminance of the local region decreases. The difference between the contrast of the blurred original and marked image is measured using a color difference metric. This spatially varying CSF performed better than a fixed CSF in the visibility model, approximating subjective measurements of a set of test color patches ranked by human observers for watermark visibility. The effect of using the CIEDE2000 color difference metric compared to CIEDE1976 (i.e., a Euclidean distance in CIELAB) was also compared.


electronic imaging | 2015

Watermarking spot colors in packaging

Alastair M. Reed; Tomás Filler; Kristyn R. Falkenstern; Yang Bai

In January 2014, Digimarc announced Digimarc® Barcode for the packaging industry to improve the check-out efficiency and customer experience for retailers. Digimarc Barcode is a machine readable code that carries the same information as a traditional Universal Product Code (UPC) and is introduced by adding a robust digital watermark to the package design. It is imperceptible to the human eye but can be read by a modern barcode scanner at the Point of Sale (POS) station. Compared to a traditional linear barcode, Digimarc Barcode covers the whole package with minimal impact on the graphic design. This significantly improves the Items per Minute (IPM) metric, which retailers use to track the checkout efficiency since it closely relates to their profitability. Increasing IPM by a few percent could lead to potential savings of millions of dollars for retailers, giving them a strong incentive to add the Digimarc Barcode to their packages. Testing performed by Digimarc showed increases in IPM of at least 33% using the Digimarc Barcode, compared to using a traditional barcode. A method of watermarking print ready image data used in the commercial packaging industry is described. A significant proportion of packages are printed using spot colors, therefore spot colors needs to be supported by an embedder for Digimarc Barcode. Digimarc Barcode supports the PANTONE spot color system, which is commonly used in the packaging industry. The Digimarc Barcode embedder allows a user to insert the UPC code in an image while minimizing perceptibility to the Human Visual System (HVS). The Digimarc Barcode is inserted in the printing ink domain, using an Adobe Photoshop plug-in as the last step before printing. Since Photoshop is an industry standard widely used by pre-press shops in the packaging industry, a Digimarc Barcode can be easily inserted and proofed.


Proceedings of SPIE | 2011

Using metrics to assess the ICC perceptual rendering intent

Kristyn R. Falkenstern; Nicolas Bonnier; Marius Pedersen; Hans Brettel; Françoise Viénot

Increased interest in color management has resulted in more options for the user to choose between for their color management needs. We propose an evaluation process that uses metrics to assess the quality of ICC profiles, specifically for the perceptual rendering intent. The primary objective of the perceptual rendering intent, unlike the media-relative intent, is a preferred reproduction rather than an exact match. Profile vendors commonly quote a CIE ΔE*ab color difference to define the quality of a profile. With the perceptual rendering intent, this may or may not correlate to the preferred reproduction. For this work we compiled a comprehensive list of quality aspects, used to evaluate the perceptual rendering intent of an ICC printer profile. The aspects are used as tools to individually judge the different qualities that define the overall strength of profiles. The proposed workflow uses metrics to assess each aspect and delivers a relative comparison between different printer profile options. The aim of the research is to improve the current methods used to evaluate a printer profile, while reducing the amount of time required.


Archive | 2015

DATA HIDING FOR SPOT COLORS IN PRODUCT PACKAGING

Alastair M. Reed; Tomás Filler; Kristyn R. Falkenstern; Yang Bai


Archive | 2015

Spot color substitution for digital watermarking

Yang Bai; Kristyn R. Falkenstern; Alastair M. Reed


Archive | 2015

Machine-readable glass

Tony F. Rodriguez; Kristyn R. Falkenstern; Alastair M. Reed


color imaging conference | 2010

Using Image Quality Metrics to Evaluate an ICC Printer Profile

Kristyn R. Falkenstern; Nicolas Bonnier; Hans Brettel; Marius Pedersen; Françoise Viénot


Archive | 2018

Including information signals in product packaging and other printer media

Alastair M. Reed; Tomás Filler; Kristyn R. Falkenstern; Yang Bai


electronic imaging | 2017

Selecting Best Ink Color for Sparse Watermark

Alastair M. Reed; Kristyn R. Falkenstern; Edward Hattenberger


Archive | 2017

SPOT COLOR SUBSTITUTION FOR ENCODED SIGNALS

Yang Bai; Kristyn R. Falkenstern; Alastair M. Reed

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Hans Brettel

École Normale Supérieure

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Françoise Viénot

Centre national de la recherche scientifique

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Marius Pedersen

Gjøvik University College

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Nicolas Bonnier

Center for Neural Science

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Nicolas Bonnier

Center for Neural Science

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Mehdi Felhi

University of Lorraine

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