Optimizing continuity in multiscale imagery
ACM Trans. Graphics (SIGGRAPH Asia), 29(6), 2010.
Visually continuous mipmap pyramid spanning differing coarse- and fine-scale images.
Multiscale imagery often combines several sources with differing appearance. For instance, Internet-based
maps contain satellite and aerial photography. Zooming within these maps may reveal jarring transitions.
We present a scheme that creates a visually smooth mipmap pyramid from stitched imagery at several scales.
The scheme involves two new techniques. The first, structure transfer, is a nonlinear operator that
combines the detail of one image with the local appearance of another. We use this operator to inject
detail from the fine image into the coarse one while retaining color consistency. The improved structural
similarity greatly reduces inter-level ghosting artifacts. The second, clipped Laplacian blending, is an
efficient construction to minimize blur when creating intermediate levels. It considers the sum of all
inter-level image differences within the pyramid. We demonstrate continuous zooming of map imagery from
space to ground level.
No hindsights yet.