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The high computational complexity is due to the cost of weight calculation for all pixels in the image during the process of denoising.
Its high computational complexity is due to the cost of weights calculation for all pixels in the image during the process of denoising.
The above mapping function requires the parameters w k,μ k,σ k k=1,…,K for all pixels in the image.
The global background SD was given as the mode of the histogram that consists of the local SD with a window size of 5×5 pixels for all pixels in the image.
The symmetry is calculated for all pixels in the image.
The threshold value is the same for all pixels in the image.
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The PCH method requires a relatively large number of observations at each pixel, and it is computationally too slow for the analysis of all pixels in an image.
Gated data was used to generate histograms measuring fluorescence intensity (sum of all pixels in an image), median pixel intensity (pixel intensity value separating the brighter half from the less bright half), and max pixel intensity (intensity of the brightest pixels in an image) for each sample.
This coherency parameter was quantified on a pixel-by-pixel basis, then averaged over all pixels in an image to produce a single coherency value for each image, which could then be averaged across all images in each experimental group.
Temporal speckle contrast analysis was done for every pixel in the image over the 1000 frames.
The HSI system obtains multiple images at discrete wavelengths, providing a diffuse reflectance spectrum for each pixel in the image.
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