Abstract
We present a technique for determining the perceived relative clutter among different images. This experiment involves participants ranking different sets of images in terms of clutter. The law of comparative judgment is then used to determine the relative levels of clutter on the physiological continuum. Also introduced are two metrics for predicting the level of clutter in an image. The first of these metrics uses a graph-based image segmentation algorithm and the second uses the change in gradients across the image. We present how these two metrics along with an existing metric based on wavelets can successfully predict the perceived clutter in an image.
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