In method 2, the recovered versions of secret images are identical to that of method 1.
Figure 17 shows the comparison of the effect of different transmission optimization method on the recovered image quality.
Fig. 17 Comparison of the effect of different transmission optimization methods on the recovered image quality.
Method 2 a) The recovered versions of the secret images are identical to that of method 1.
In the inversion of the Gachsaran MT data, the NLCG method recovered the general resistivity distribution of the subsurface structures, but the sharp boundary inversion recovered a layered resistivity model with substantially less internal variation within the layers.
After Weyl, the next big step was made by Richard Courant [6] (1920), who further developed the variational method and recovered the remainder estimate (O lambda ^{ d-1)/2}log lambda )).
The method recovers the exact answer in the limit of mesh sizes approaching zero.
When applied to a benchmark rRNA data set, the method recovered mostly pairs of sites, as expected, and was more powerful than the approach of [ 11], although the latter method had been specifically designed to detect pairs.
Note the similarity of tracer distribution of Figure 4F,G near and in the signal void suggesting that our method has recovered the PET signal with minimal bias.
