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Error reduction of quantized kinoforms by means of increasing the kinoform size

机译:通过增加千鸟格大小减少量化千鸟格的误差

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摘要

There are two kinds of method that utilize the redundancy in kinoform domains for reducing the reconstruction errors of quantized kinoforms. One is the iterative-dummy area (IDA) method, which increases the kinoform size indirectly by the addition of a dummy area to the desired image. The other is the interlacing technique (IT), which increases the kinoform size directly by the interlacing of a number of subkinoforms whose sizes are the same as the desired image. We compare the error reduction of quantized kinoforms between these two methods. Simulation results show that reconstruction errors from the IT method can be reduced further and faster than those from the IDA method when the kinoform size is increased to larger than 4 x 4 times the size of the desired image. (C) 1998 Optical Society of America. [References: 14]
机译:有两种方法可以利用运动形式域中的冗余来减少量化运动形式的重构误差。一种是迭代虚拟区域(IDA)方法,该方法通过在所需的图像上添加虚拟区域来间接增加kinoform的大小。另一种是隔行扫描技术(IT),该技术通过隔行扫描与尺寸与所需图像相同的许多子变型直接增加了kinoform大小。我们比较了这两种方法之间量化的kinoform的误差减少。仿真结果表明,当将kinoform尺寸增大到大于所需图像尺寸的4倍至4倍时,IT方法的重建误差可以比IDA方法进一步和更快地减少。 (C)1998年美国眼镜学会。 [参考:14]

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