Optimizing Continuity in Multiscale Imagery

Charles Han1 Hugues Hoppe2

1Columbia University 2Microsoft Research


Multiscale imagery often merges several sources with differing appearance. For instance, Internet-based maps combine 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.


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    author = {Charles Han and Hugues Hoppe},
    title = {Optimizing Continuity in Multiscale Imagery},
    journal = {ACM Transactions on Graphics (Proceedings of SIGGRAPH Asia 2010)},
    year = {2010},
    volume = {29},
    number = {5},
    pages = {171:1--171:9}