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sum of the absolute differences.
zero mean sum of absolute differences.
Common pixel-based matching functions include absolute differences, squared differences, or sampling-insensitive absolute differences [27].
b Absolute differences of groups of two adjacent pixels.
The absolute differences for the SV are small.
d Absolute differences of groups of two randomly selected pixels.
Data hider can retrieve the absolute differences and embed additional data directly into the encrypted image by shifting histogram of the absolute differences.
This paper describes sum of absolute differences (SAD) algorithm to calculate optical flow function.
In fact, boundary work tends to demarcate absolute differences between groups and elide similarities (Vallas 2001).
The optical flow is computed by a block matching method using sum of absolute differences (SAD).
Here, we chosen truncated absolute differences (TAD) to implement f, the values exceeding const are truncated.
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