Applications

The use of color for highlighting linear objects is illustrated by figure 6. (All the color images were grouped at the end of the paper due to printing necessities). Luminance is given by a simple synthetic reflectivity model, and the result of applying a local monoplane anihilator to the luminance image constitutes the chrominance (fig 2). The two images were generated with code from Claerbout (2001). It must be noticed that the colored pixels do not obscure the local features of the image (the highlighting is not ``drawn over'' the luminance image), but they have the shading given by the synthetic model itself.

 

lomoplan
Figure 2 Luminance (left) and chrominance (right) for Fig. 6

One of the best uses of the tool described in this paper is representing both the velocity model and the seismic section in the image. Fig. 3 represents the velocity model (chrominance), Fig. 4 the seismic section, and Fig. 7 the result of applying the above described algorithm to the two images. Operator M consisted in this case of a histogram equalization for the luminance, then of a transformation to Y, I and Q through the components of the jet colormap (fig. 1).

 

chrominance_VEL Figure 3 The velocity model (chrominance for Fig. 7)

 

luminance_VEL
Figure 4 Luminance for Fig. 7

Dip fields, described in Fomel (2000) can be helpful in interpreting seismic data. Fig. 5 shows the value of the strongest dip in the corresponding point of Fig. 4, computed with the programs accompanying Fomel (2000). It is not easy to visually correlate the features in the two images. But when the dip field is used for chrominance, and the seismic image for luminance (with the operator M containing a 97 percent clip before applying jet colormap), the unconformities, as well as the areas with conflicting dips, become highly visible. (Fig. 8)

 

chrominance_DIP Figure 5 Dip field of Fig. 4. This image will be used as chrominance for Fig. 8