Bas-Relief Generation Using Adaptive Histogram Equalization

An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is...

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Bibliographic Details
Published in:IEEE transactions on visualization and computer graphics 2009-07, Vol.15 (4), p.642-653
Main Authors: Xianfang Sun, Rosin, P.L., Martin, R.R., Langbein, F.C.
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive equalizers
adaptive histogram equalization
Algorithms
Automation
Bas-relief
Costs
Equalization
feature enhancement
Histograms
Image coding
Layout
Mathematical models
Mesh generation
Preserves
Production
Projection
Shape
Sun
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Summary:An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is regularly gridded and treated as an image, enabling a modified AHE method to be used to generate a bas-relief with a user-chosen height range. We modify the original image-contrast-enhancement AHE method to use gradient weights also to enhance the shape features of the bas-relief. To effectively compress the height field, we limit the height-dependent scaling factors used to compute relative height variations in the output from height variations in the input; this prevents any height differences from having too great effect. Results of AHE over different neighborhood sizes are averaged to preserve information at different scales in the resulting bas-relief. Compared to previous approaches, the proposed algorithm is simple and yet largely preserves original shape features. Experiments show that our results are, in general, comparable to and in some cases better than the best previously published methods.
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2009.21