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Sum of absolute difference.
Sum of absolute transform difference.
zero mean sum of absolute differences.
Another measurement is the normalized sum of absolute difference (SADnorm).
This paper describes sum of absolute differences (SAD) algorithm to calculate optical flow function.
The VCVs are measured using the sum of absolute motion vectors (SAMV) and the sum of absolute transformed differences (SATD) with 4 × 4-pixel blocks.
The optical flow is computed by a block matching method using sum of absolute differences (SAD).
The comparison is made by computing the sum of absolute difference (SAD).
These range from principal component analysis, sum of absolute differences, correlation coefficient, rank, and among others.
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Saha et al. [8] employed the sum-of-absolute-transformed-differences to predict the SKIP mode.
It uses a window-based sum-of-absolute difference (SAD) luminance matching functional without a smoothness constraint.
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