Saliency-Aware Volume Data Resizing by Surface Carving

We present a saliency-aware volume resizing operation called surface carving, which intelligently removes contextual voxels while preserving important features. By iteratively applying surface carving in all directions, we can create a volume of the desired size. For large volume data sets, a multilevel banded method is introduced to gracefully overcome the memory limit and speed up volume resizing. We compare our technique with traditionally cropping and scaling approaches and demonstrate the effectiveness and efficiency of our method with several volume data sets.