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Saliency-guided Enhancement for Volume Visualization



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IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS VOL 12 NO 5 SEPTEMBER OCTOBER 2006 Saliency guided Enhancement for Volume Visualization Youngmin Kim and Amitabh Varshney Member IEEE Abstract Recent research in visual saliency has established a computational measure of perceptual importance In this paper we present a visual saliency based operator to enhance selected regions of a volume We show how we use such an operator on a user specified saliency field to compute an emphasis field We further discuss how the emphasis field can be integrated into the visualization pipeline through its modifications of regional luminance and chrominance Finally we validate our work using an eyetracking based user study and show that our new saliency enhancement operator is more effective at eliciting viewer attention than the traditional Gaussian enhancement operator Index Terms Saliency visual attention perceptual enhancement volume rendering non photorealistic rendering 1 I NTRODUCTION Visually depicting large volume datasets in a comprehensible way has been a long standing challenge Transfer functions have been widely used to help visualize the features and details in volumes by assigning varying optical properties such as color and opacity to different densities of a volumetric scalar field Significant advances have been made in the art and the science of devising transfer functions that successfully show the inherent structures within a given volume dataset Despite these impressive advances the transfer functions remain a mapping of the physical appearance to the local geometric attributes such as the local density of the scalar field and its first and higher order derivatives Notwithstanding the pioneering work in dual domain interactions by Kniss et al 12 transfer functions by and large remain ill suited to directly afford the appearance manipulation of selected regions of a volume As the volume datasets have grown in complexity so too has the need to emphasize and



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