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Validation of Quality Attributes for Evaluation of Color Prints

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Image quality assessment is a difficult and complex task. Quality attributes have been used in the evaluation of perceived image quality in an attempt to reduce the complexity and the dimensionality. Recently, Pedersen et al. (CIC, 2009) proposed a set of quality attributes for the evaluation of color prints. In this paper we perform an experimental validation of these quality attributes to ensure that the criteria on which they were selected are fulfilled. The results show a correspondence between the quality attributes and the criteria. The quality attributes are therefore considered as a good starting point to describe overall image quality.
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Document Type: Research Article

Publication date: January 1, 2010

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  • 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.

    Please note: for Purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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