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.
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。
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