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Adaptive Interpolation

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A basic requirement in any electronic imaging system, is the ability to interpolate image data by resampling the scanned input image. This is particularly true when working with relatively low resolution images on a desktop system, for output on a high resolution color transparency film recorder such as the LightJet 2000.

A major problem with any interpolation algorithm which produces a sharp result is that the optimum sharpness of the resultant image is dependent on local image content. The sharpness of the interpolated image therefore needs to be altered depending on local image content.

We are proposing a method which provides a continuum of interpolated images from relatively sharp at one end to relatively smooth at the other end. A user has the ability to select any degree of sharpness or smoothness in the interpolated output image, within the limits of the full sharpness and full smoothness results. In addition, a user can specify sharpness depending on local image contrast and density.
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Document Type: Research Article

Publication date: January 1, 1995

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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.

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