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Complementary diffusion for image coherence-enhancing.
We design three groups of experiments as follows: 1) Complementary diffusion for image coherence-enhancing.
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In this article, complementary diffusion tensor-driven method for image coherence enhancement was proposed.
The latter one is evaluated by deriving an analytical solution for coherence-enhancing diffusion filtering of images with circular symmetry.
Fig. 5 This graph shows the monotonic decreasing behavior of the variance of the image for coherence enhanced diffusion (CED).
(a) Original wood image, (b) complementary diffusion by our approach σ = 0.05, ρ = 2, iteration time = 6, (c) coherence-enhancing method by Weickert σ = 0.05, ρ = 2 iteration time = 6, (d) diffusion by P-M equation σ = 0.05, iteration time = 3. Figure 4 Diffusion for wood texture.
There are two important steps for coherence-enhancing diffusion: first analyze coherent structures and second enhance it.
The first type is signal synchronisation, aiming to maintain coherence for image formation.
A modified coherence enhancing diffusion (CED) as suggested earlier in linear anisotropic section proves to be of little success for diffusing low-quality fingerprints.
Previously, an optical lock-in photothermal approach was combined with optical coherence microscopy (OCM) [ 5], producing 34dB SNR but requiring up to 5 seconds for image acquisition.
The Duchess of Cambridge is not the first to have her image electronically enhanced for a glossy magazine cover.
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