CVNet - Special issue of Proceedings of the IEEE

From: Color and Vision Network (cvnet@lawton.ewind.com)
Date: Wed Apr 12 2000 - 21:33:27 PDT

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    From: "Christian J. van den Branden Lambrecht" <vdb@ieee.org>
    To: <hchan@well.com>
    Subject: Can you post this to cvnet?

    >
    >
    >
    > Dear Colleagues,
    >
    > We are announcing a special issue of the Proceedings of the IEEE on
    >
    > Translating Human Vision Research into Engineering Technology
    >
    >
    > The Proceedings of the IEEE is an archival, refereed journal that
    > covers all
    > aspects of electronics, electrical engineering and computer science with
    > reviews, surveys and tutorial papers. The goal of a contribution to the
    > Proceedings is to provide a definitive treatment of its subject. The
    > objective of this special issue is to survey, review and archive
    > significant
    > contributions from vision science to product engineering.
    >
    > An important goal of vision science is to develop models for
    > standard human
    > observers that predict performance on a variety of visual tasks. These
    > models in turn lead to the development of image quality metrics
    > that can be
    > used to specify and evaluate the design of imaging products, such as
    > cameras, scanners, displays and printers. Photometers and
    > colorimeters are
    > excellent examples of contributions that vision science has made
    > to product
    > engineering. More recent examples include computational image quality
    > metrics that are used to minimize distortion in image compression and
    > digital halftoning. Even more recently, these metrics have been
    > embodied in
    > test and measurement products.
    >
    > While computational image quality metrics can be used to optimize
    > the design
    > of imaging peripherals, researchers and engineers have known for
    > years that
    > subjective judgements of image quality are not always predicted by the
    > minimization of visible distortion. Image restoration methods,
    > for example,
    > can increase the distortion of an image and, at the same time,
    > make it more
    > pleasing to the eye. The development of methods for quantifying
    > subjective
    > impressions of image quality is another important problem in
    > vision science.
    >
    > This issue will include invited papers from a few key individuals who have
    > made significant contributions to vision science and product engineering.
    > These contributions include the design of products that optimize a
    > measurable aspect of image quality and the development of methods for
    > quantifying different aspects of image quality. We are also seeking
    > contributions to this special issue from individuals who are currently
    > working to optimize the design of human information appliances.
    >
    >
    > Topics of Interest include, but are not limited to, the following:
    > - Imaging Devices (display, cameras, scanners, printers) -
    > Vision Science
    > - Image Quality Metrics - Visual Psychophysics
    > - Subjective and Objective Quality Assessment - Vision Models
    >
    > Guest Editors:
    > Dr. Christian J. van den Branden Lambrecht
    > Lucent Technologies
    > vdb@ieee.org
    >
    > Dr. Joyce E. Farrell
    > Shutterfly.com
    > 2800 Bridge Parkway, Suite 101
    > Redwood City, CA 94065
    > United States
    >
    >
    >
    > Authors' Schedule:
    > Submission of manuscript: August 31, 2000
    > Notification of first review: November, 2000
    > Notification of second review: April, 2001
    > Submission of final manuscript: June 30, 2001
    >
    >
    > All manuscripts, with four copies, should be submitted by the due date to
    > the guest editor. All manuscripts should conform to the standard
    > formats as
    > indicated in the latest "Information for Authors" printed in the
    > Proceedings
    > of the IEEE, or at http://www.ieee.org/organizations/pubs/authors.html.
    >
    >
    >



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