Prediction error filters to enhance differences

Conclusions

Two schemes, one amplitude based, one covariance based, are described that automatically compare two seismic images. The first scheme uses histogram normalization to equalize the amplitude of the full precision and reduced precission volumes. The second approach compares the covariance of two volumes within small patches. Both methods prove effective, with the covariance based approach showing more consistent behavior.