Dynamic Patch Optimization for Color Printer Characterization
Abstract:Color printer characterization derives the conversion from the input signals to the printer (or device values) to the color measurements of the resulting printed colors (or color values). Accurate printer characterization generally involves numerous measurements of printed color samples. The printer characteristics often slightly drift over a period of time, thus requiring re-characterization; and hence many more measurements. A method is proposed to select a reduced number of optimal color samples for color printer characterization. These samples are selected for a specific printer, and are superior to generic printer characterization targets. Printer characterization can then be performed more frequently with the smaller optimal set of color samples.
Document Type: Research Article
Publication date: 2011-01-01
CIC is the premier annual technical gathering for scientists, technologists, and engineers working in the areas of color science and systems, and their application to color imaging. Participants represent disciplines ranging from psychophysics, optical physics, image processing, color science to graphic arts, systems engineering, and hardware and software development. While a broad mix of professional interests is the hallmark of these conferences, the focus is color. CICs traditionally offer two days of short courses followed by three days of technical sessions that include three keynotes, an evening lecture, a vibrant interactive (poster) papers session, and workshops. An endearing symbol of the meeting is the Cactus Award, given each year to the author(s) of the best interactive paper; there are also Best Paper and Best Student Paper awards.
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