其运算量仅为基于梯度的可变形块匹配算法（GB-DBMA）的一半，但能得到更好的主客观预测质量，且更易于VLSI硬件实现。
NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective quality, and is much easier to implement by VLSI.
其运算量仅为基于梯度的可变形块匹配算法（GB-DBMA）的一半，但能得到更好的主客观预测质量，且更易于VLSI硬件实现。
NS-DBMA has only half computation amount of the gradient-based search algorithm (GB-DBMA) but gets better subjective and objective quality, and is much easier to implement by VLSI.
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