Exact(29)
Figure 1 Noise in the wavelet domain.
Fig. 1 Noise caused by local intensity fluctuation.
n(t) is the 6 × 1 noise vector.
The model (1) noise has been simulated with k = 0.01 and σ si 2 = 25.
As opposed to X ^ 1, noise in Y was more effectively removed in X ^ 20.
To improve image quality, we applied the special image processing measures as follows: (1) Noise removal.
Similar(31)
Fig. 2 Model 1: noise-free data.
Figure 1 Noise-free color images in TID2008.
Figure 2 Model 1: noise-free data (after Jagannadha Rao et al. [ 1993 ]).
The values of the regularization parameter are also shown; see the text for details. Figure 6 Model 1: noise-free data (after Jagannadha Rao et al. [ 1993 ]).
Figure 1 Noise-free test color images of TID2008 (each image has 384 rows and 512 columns, 24 bits per pixel).
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