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Among Gaussian, Laplacian, and generalized Gaussian distributions, we conclude that the composite of multiple generalized Gaussian distributions is most consistent with the overall distribution of the coefficients for any given high frequency subband.
For the high frequency subband, it contains high frequency information.
For the 'Tra-con-max', the absolute value of a single pixel of the high frequency subband is used as ΔL in the contrast measurement.
For fusion of the high frequency subband coefficients, the 'Coef-abs-max' and 'Tra-con-max' fusion rules, are respectively used in Methods 4 and 5.
And the values of ΔPSNR indicate that the proposed fusion rule of the high frequency subband is more reliable, robust and stable than other fusion rules.
The following study presented in this article is concerned with a design of novel fusion rules for the low frequency subband coefficients and the high frequency subband coefficients.
Similar(42)
In this paper, we propose an effective infrared and visible image fusion scheme in nonsubsampled contourlet transform (NSCT) domain, in which the NSCT is firstly employed to decompose each of the source images into a series of high frequency subbands and one low frequency subband.
We showed that we can embed a remarkable amount of data (34 KB) using other high frequency subbands in addition to the highest frequency subband.
The coefficients in the high frequency subbands represent the detailed component of the source image.
These high frequency subbands may be decomposed two more times, which yields 44 +42 + 42 -1 = 287 different subband decomposition structures for such a subband.
In the proposed algorithm, a novel feature contrast of multiscale products, which stands for edge features in high frequency sub-images in LSWT domain, is developed and used as the fusion scheme of the high frequency subbands.
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