HP Color Enhancement

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Information about HP Color Enhancement

Published on November 16, 2009

Author: jmorovic

Source: slideshare.net

Description

Presentation given at 17th Color Imaging Conference as part of Color Enhancement panel discussion.

Color Enhancement Ján Morovič © 2008 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice

Angels’ delight or chilling “When one has tasted watermelon, he knows what the angels eat” Mark Twain (1835–1910) “The nature of watermelons is generally rather chilling” Galen (129–216 A.D.), 2009 © Ján Morovič, Hewlett–Packard Company 2

Photosmart (Jay Gondek) • Customers are primarily interested in capturing memories, not editing photos • For example, a “Soccer Mom” is the archetypical customer. • The process and technology should not get in the way of capturing the moment. • Customer expects the camera and printer will produce a pleasing color rendition. • Images are analyzed by the printer, and a variety of color and image enhancements may be applied before printing: • Vividness and Contrast • Shadow Detail • Sharpness • Red-Eye Removal 2009 © Ján Morovič, Hewlett–Packard Company 3

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LaserJet (Mark Shaw, Victor Loewen) • The vast majority of LaserJet printers are used in the office • Experts at content, not imaging • Migrating to more complex documents with mixed content • Expect fleet compatibility in color rendering • Translating expectations from display to print without iterations makes customers more productive • Color preference is based on document content more than size of color gamut • Context dependent color is an important consideration – different expectation for photo / non-photo content • Document content is analyzed • Color preferencing and image enhancements are determined based on document content 2009 © Ján Morovič, Hewlett–Packard Company 5

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Indigo (Boris Oicherman, HP Labs Israel) • Market: web driven photo book printing • Extremely high volumes (millions of pictures/day) • Robust unattended processing, zero tolerance to error: “one failed picture” = “one failed book” • Integrated image enhancement and color management: • Every image is analyzed by the server: • Local and global color statistics • Detection of memory color areas (i.e. faces, sky) • Sharpness and noise estimation • Enhancement is tuned for a particular image • Good quality images are not touched (“do no harm”) • Local/global lightness and color contrast integrated with spatial gamut mapping • Lightness and color de–noising, JPEG artifact reduction • Memory color correction, content-sensitive sharpening/smoothing, red eye removal 2009 © Ján Morovič, Hewlett–Packard Company 8

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Designjet • Customers / content creators: fine artists, pro photographers, graphic “I am constantly working to designers give images a gentle, • The customer knows best timeless feel. I want them to simply sit on the paper so the look they want and is that the observer *first* able to achieve it looks at the wonderful, • Automatic enhancement is intriguing image - the interference with customer’s process and construction wishes and preferences – must be secondary to that...” becomes degradation! Jack Lowe, Photographer • Exception: ‘enhancement’ to compensate for system limitations 2009 © Ján Morovič, Hewlett–Packard Company 10

© Jack Lowe (www.jacklowe.com) 11

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