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Gaussian speckle

This effective Q,t-range overlaps with that of DLS. DLS measures the dynamics of density or concentration fluctuations by autocorrelation of the scattered laser light intensity in time. The intensity fluctuations result from a change of the random interference pattern (speckle) from a small observation volume. The size of the observation volume and the width of the detector opening determine the contrast factor C of the fluctuations (coherence factor). The normalized intensity autocorrelation function g Q,t) relates to the field amplitude correlation function g (Q,t) in a simple way g t)=l+C g t) if Gaussian statistics holds [30]. g Q,t) represents the correlation function of the fluctuat-... [Pg.22]

Figure 12.3 Principle of mode propagation and dispersion in optical fibres. Top multi-mode step-index fibre bottom single-mode step-index fibre. Typical intensity profiles of the beams exiting the fibre are shown on the right, exhibiting a speckle pattern for the multi-mode fibre and a Gaussian profile for the single-mode fibre... Figure 12.3 Principle of mode propagation and dispersion in optical fibres. Top multi-mode step-index fibre bottom single-mode step-index fibre. Typical intensity profiles of the beams exiting the fibre are shown on the right, exhibiting a speckle pattern for the multi-mode fibre and a Gaussian profile for the single-mode fibre...
In next the other experiments, we have given combination of Gaussian additive, speckle and impulsive noise. From many the other medical images tests show that the results of our proposed method are also better than the other methods. These results clearly demonstrate the superiority of the proposed method over others. In here, we also report our results in some medical images cases. [Pg.198]

We now test our proposed method in several cases that medical images are corrupted Gaussian noise, Speckle noise. Table 1 and 2 show Ae PSNR value (in dB) of tests in several cases. [Pg.198]

From the results presented in the above table (Table 1 and 2), it is clear that the performance of the proposed method is better than the ForWaRD, WaveD and Symmlet method for medical image having aiw type of noise such as Gaussian and Speckle noise. [Pg.198]


See other pages where Gaussian speckle is mentioned: [Pg.385]    [Pg.392]    [Pg.138]    [Pg.146]    [Pg.146]    [Pg.148]    [Pg.611]    [Pg.611]    [Pg.208]    [Pg.438]   
See also in sourсe #XX -- [ Pg.146 , Pg.148 , Pg.155 , Pg.156 , Pg.159 , Pg.162 ]




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Speckle

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