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Reconstruction of continuous tone images from their error-diffused halftone version

机译:从错误扩散的半色调版本重建连续音调图像

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We consider the problem of reconstructing a continuous-tone (contone) image from its halftoned version, where the halftoning process is done by error diffusion. We present an iterative nonlinear decoding algorithm for halftone-to-contone conversion, and show simulation results that compare the performance of the algorithm to that of conventional linear lowpass filtering. We find that the new technique results in subjectively superior reconstruction. As there is a natural relationship between error diffusion and $Sigma$Delta modulation, our reconstruction algorithm can also be applied to the decoding problem for $Sigma$Delta modulators.
机译:我们考虑从其半色调的版本重建连续音(Conserone)图像的问题,其中半色调进程由误差扩散完成。我们介绍了一种用于半色调对不起的转换的迭代非线性解码算法,并显示了将算法对传统线性低通滤波的性能进行比较的仿真结果。我们发现新技术会导致主观上卓越的重建。由于误差扩散与$ SIGMA $ DELTA调制之间存在自然关系,因此我们的重建算法也可以应用于$ SIGMA $ DELTA调制器的解码问题。

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