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After smoothing, the map appears much flatter, and all the extremes are removed.
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Small difference means that the scene of video is very smooth and the flicker can be reduced by smoothing the mapping functions.
In [42], it is especially mentioned that many dehazing methods differ in the way of smoothing the transmission map.
For the statistical analysis, we smoothed the decoding map for each subject with a 2D Gaussian kernel in time and frequency (5×5 pixels, with std = 2 pixels) then averaged across subjects.
Halstead gave TechCrunch a demo showing how the platform ingests and connects data, with users able to use "simple steps" to teach the system what is meant by data types stored in different formats — such as that 'f' means the same as 'female' for gender category purposes — to smooth the data mapping and "try to get it as clean as possible".
The RCR method uses the Gaussian filter to smooth the enhanced depth map, the enhanced depth map is called the guided depth map after the Gaussian filter, then the guided depth map is used to iterate the original enhanced depth map and sharpen the tiny jagged edges.
Prior to statistical analysis, a heat kernel with a 30-mm width was used to smooth the cortical thickness maps to increase the signal-to-noise ratio and to improve the ability to detect morphometric variations [54].
Increasing the scale of filtering may over-smooth the maps, and thus, such classes may be misclassified.
If the filtering size and blur degree, i.e., σ s and σ r, are too large, there may be a dramatic decrease in the average classification accuracy that may over-smooth the maps.
It is worth stressing the difference in the scale of risk between the risk point location and the kernel smoothed intensity map where the colour grade in the latter determines the risk for 25 km2 raster cell areas at much lower scale than the point map.
A valuation φ ∈ V al is called smooth if the map GL (n ) → V al defined by A ↦ A φ is infinitely differentiable.
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