但当循环频率存在误差时，上述算法的性能将急剧下降。
But all the algorithms' performance will severely degrade when CFE (cyclic frequency error) exists.
针对误差分散半调图在黑灰区域的“有界循环”现象，提出了一种基于人眼视觉系统的逆半调算法。
To efficiently remove the limit cycles in dark region of an error-diffused halftone image, an inverse halftoning algorithm based on human visual system is proposed.
通过冷却循环水系统的现场应用，达到了计量标准的要求，降低了计量误差，验证了该系统在原油计量中的作用。
It is proved that the field application of cooling water recirculation system can meet the measurement standards and reduce metering errors.
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