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At a hydrogen concentration of ∼35 at.%, the concentration gradient of the mobile unbounded hydrogen atoms is neutralised effectively stopping diffusion towards the interface.
The weighted anisotropic diffusion prior combines the advantage of preserving/enhancing the edges of the reconstructed optical image while reducing the noise and stopping diffusion through boundaries defined by the anatomical prior.
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This idea of using exceedance probability for stopped diffusion is well known in the physics community [11, 16].
However, the DPAD doesn't stop diffusion when the number of iterations is increasing.
In the case of large q, the proposed method will stop diffusion while Aja-Fernandez will still perform diffusion.
In this work, we study standard Euler updates for simulating stopped diffusions.
These changes may be in the form of altering the basic characteristics of the well-known S-shaped diffusion curve, as well as stopping the diffusion at much lower levels than full adoption.
The diffused image resulting from stopping the diffusion process at the location of the second peak in entropy change is shown in c.
The diffused image resulting from stopping the diffusion process at the location of the peak in entropy change is shown in (d).
By stopping the diffusion process by that peak location, the diffused image is shown in Fig. 7 d.
This limit the spread of information which leads to stopping the diffusion.
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