Images of scenes acquired in bad weather have poor contrasts and colors. In this paper, we exploit the idea of interactive
method and recover the images based on physical model. First, a simple method is proposed to estimate the scene depths.
Second, the parameters in the depths model can be obtained automatically from a single image. Experiments show that
our method can remove the haze effectively. Especially, it is easy to serve for the practice.
KEYWORDS: Data modeling, Visualization, Volume rendering, 3D modeling, Transparency, Computer programming, Geographic information systems, Raster graphics, 3D image processing, Data acquisition
Visualization is an important means of understanding and explaining the natural phenomena. The visualization of ocean can help us understand and utilize the undersea world. As we know, the ocean is a real three-dimensional space, so the visualization includes not only the simulation of interface terrain (such as sea water surface, sea bottom, etc.) but also the hydrographic feature (such as salinity, temperature, pressure, current directions etc.). In this paper, taking the temperature field in the sea as the example, we discussed the visualization of data of space-fulfilled field from a viewpoint located in the field. We analyzed the acquisition and interpolation of 3-D oceanic data in section 2, proposed an Octree model in section 3, introduced visualization in scientific computing and implemented temperature field visualization based on volume rendering in section 4. Lastly, some conclusions are given in section 5.
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