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Then, using a histogram clustering technique a global intensity threshold level was determined.
The objective function combines two parts: a global intensity part and a local structure part.
First a global intensity similarity is introduced into the WSF expression.
The global intensity measurement is based on the normalized mean squared error (NMSE).
We start by computing the target distribution (either BPHEME or FHSABP) using global intensity histogram.
By assuming a dipolar structure, VDMs and VADMs allow comparison of global intensity values.
In the SSIM, global intensity and contrast changes were not determined as forms of distortion[36].
Here good mutation means after this mutation, the global intensity RMS error is reduced.
Whereas, these optimization methods just focus the global intensity similarity while ignore the influences of local structure.
In [7], Wang et al. proposed a local and global intensity fitting model in a variational level set formulation.
The NMSE(I, I d ) can evaluate the global intensity similarity between the dithering pattern and the corresponding ideal pattern.
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