![](bga.png)
(a) Original fingerprint image, 368×600 (b) CESF, iteration = 300 (c) Proposed shock filter, iteration = 300
Figure 11: Regularization of a fingerprint image.
jects. Finally, the proposed model uses different
shock-diffusion strategies on different parts of the
image to efficiently eliminate the noise and enhance
edges. Experiments on blurred and natural images
show that the proposed model can remove noise and
sharpen edges effectively, while preserving small ob-
jects and corners of the image. As shown in a fin-
gerprint image, this approach is a coherence diffusion
method, keeping also the contrast, thus produces bet-
ter visual quality than the compared models.
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