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COMPUTER-GENERATED FRESNEL HOLOGRAMS - QUANTIZATION WITH THE ERROR DIFFUSION ALGORITHM

机译:计算机生成的菲涅耳全息图-使用误差扩散算法进行量化

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摘要

Error diffusion is a quantization algorithm for both images and computer-generated holograms. Its free parameters allow the shaping of the quantization noise in the Fourier domain independent of the object information. Thus optimization strategies have been developed to find free parameters which allow the quantization of computer-generated Fourier holograms so that there is low noise in the regions where the object information lies. If the same weights are used to quantize a computer-generated Fresnel hologram the noise is drastically increased in those regions. A method is shown how a Fresnel hologram can be quantized with comparable noise as in the Fourier case. This method uses the same optimized weights of the Fourier case, so no further optimization is necessary. [References: 17]
机译:误差扩散是图像和计算机生成的全息图的量化算法。它的自由参数允许在傅立叶域中对量化噪声进行整形,而与对象信息无关。因此,已经开发出优化策略以找到自由参数,该自由参数允许对计算机生成的傅立叶全息图进行量化,从而在物体信息所在的区域中具有低噪声。如果使用相同的权重来量化计算机生成的菲涅耳全息图,则这些区域的噪声将急剧增加。展示了一种方法,该方法可以像在傅立叶情况下那样用可比较的噪声来量化菲涅耳全息图。该方法使用的傅立叶情况具有相同的优化权重,因此无需进一步优化。 [参考:17]

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