Business data is often presented using simple business graphics. These familiar visualizations are effective for providing overviews, but fall short for the presentation of large amounts of detailed information. Treemaps can provide such detail, but are often not easy to understand. We present how standard treemap algorithms can be adapted such that the results mimic familiar business graphics. Specifically, we present the use of different layout algorithms per level, a number of variations of the squarified algorithm, the use of variable borders, and the use of non-rectangular shapes. The combined use of these leads to histograms, pie charts and a variety of other styles.

Color is widely used in data visualization to show data values. The proper selection of colors is critical to convey information correctly. In this paper, we present a technique for generating univariate lightness ordered palettes. These are specified via intuitive input parameters that are used define the appearance of the palette: number of colors, hue, lightness, saturation, contrast and hue range. The settings of the parameters are used to generate curves through CIELUV color space. This color space is used in order to correctly translate the requirements in terms of perceptual properties to a set of colors. The presented palette generation method enables users to specify palettes that have these perceptual properties, such as perceived order, equal perceived distance and equal importance. The technique has been integrated in MagnaView, a system for multivariate data visualization.

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Current television systems cope with a gap between broadcast and display resolution. Currently, scaling together with high-end sharpening techniques is considered state of the art in consumer products. For larger resolutions and more detail we propose Super-Resolution, a known technique, but with several new insights. Such as Similarity Adjustment combined with Rejection to provide a higher accuracy. Furthermore, Temporal Nearest First, a Multi-Frame Motion Estimator that even more increases accuracy so more detail can be obtained. The latter also makes an implementation more feasible in a television application.

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