Adding Synthetic Detail to Natural Terrain Using a Wavelet Approach
Terrain representation is a basic topic in the field of interactive graphics. The amount of data required for good quality terrain representation offers an important challenge to developers of such systems. For users of these applications the accuracy of geographical data is less important than their natural visual appearance. This makes it possible to mantain a limited geographical data base for the system and to extend it generating synthetic data.
In this paper we combine fractal and wavelet theories to provide extra data which keeps the natural essence of actual information available. The new levels of detail(LOD) for the terrain are obtained applying an inverse Wavelet Transform (WT) to a set of values randomly generated, maintaining statistical properties coherence with original geographical data.
KeywordsFractal Dimension Window Size Fractional Brownian Motion Wavelet Base Extra Data
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