Abstract
Diffusion and correlation effects are two principal phenomena which have been studied for years and several visualization techniques have been proposed to help scientists to understand them. The analysis of these phenomena will help to extract important information from data sets. To understand these problems we combine wavelet and entropy analysis to evaluate the evolution of these behaviors through scale and time. We present image case studies to show several different kinds of behaviors of these effects. Some of them are fallible cases and not reliable, as the images do not show the desired information. We calculate entropy of smooth and detail coefficient sets, generated by wavelet transform of these sample images in each scale, to obtain measures that allow us to evaluate these behaviors according to the organization complexity. These measures can provide an indication about the quality of the rendered images.
| Original language | English (US) |
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| Title of host publication | Proc 1997 10 Braz Symp Comput Graph Image Process SIBGRAPI 97 |
| Editors | F. Henrique, M.L. Netto |
| Publisher | IEEE Comp Soc |
| Pages | 119-125 |
| Number of pages | 7 |
| State | Published - 1997 |
| Event | Proceedings of the 1997 10th Brazilian Symposium of Computer Graphic and Image Processing, SIBGRAPI 97 - Campos do Jordao, Braz Duration: Oct 13 1997 → Oct 16 1997 |
Other
| Other | Proceedings of the 1997 10th Brazilian Symposium of Computer Graphic and Image Processing, SIBGRAPI 97 |
|---|---|
| City | Campos do Jordao, Braz |
| Period | 10/13/97 → 10/16/97 |
ASJC Scopus subject areas
- General Engineering