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Print Inverse Halftoning and Its Quality Assessment Techniques

机译：印刷逆半色调及其质量评估技术

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摘要

The technology of converting halftone image back to the continuous tone image (i.e. inverse halftoning) and method of quality assessment of inverse halftone images are studied. A general method for inverse halftoning of printed image is present in the paper. We use several filters to obtain the smoothing image and edge information of halftone image, and obtain the inverse halftone result by adding the edge information on the smoothing image. The inverse halftone results using the method presented in this paper are visually better than that of using Gaussian low pass filter or that of combining Gaussian low pass filter and median filter. The PSNR of inverse halftone result of amplitude modulation image (value 18.6134) is lower than that of other halftone images, but in fact, the inverse halftone result of amplitude modulation image is visually better. While using the new index of quality assessment D presented in this paper, D value of inverse halftone result of amplitude modulation image is significantly smaller than that of frequency modulation image (the former 5.9506, the latter 0.248), which means the tone feature of inverse halftone result of the amplitude modulation image is more consistent with the continuous image. The inverse halftone results by using the method presented in this paper is good, and the method can be applied to different types of halftone images. And, the index of quality assessment D presented in this paper is helpful to avoiding wrong judgment while PSNR is not consistent with the visual result.
机译：研究了将半色调图像转换回连续色调图像的技术（即逆半色调）和逆半色调图像的质量评估方法。在纸中存在一种用于对打印图像进行逆半色调的通用方法。我们使用几个滤波器来获得平滑图像和半色调图像的边缘信息，并通过在平滑图像上添加边缘信息来获得反半色调结果。与使用高斯低通滤波器或结合高斯低通滤波器和中值滤波器的结果相比，使用本文提出的方法获得的半色调逆结果在视觉上要好。振幅调制图像的逆半色调结果（值18.6134）的PSNR低于其他半色调图像的PSNR，但实际上，振幅调制图像的逆半色调结果的视觉效果更好。在使用本文提出的新的质量评估指标D的情况下，调幅图像逆半色调结果的D值明显小于调频图像逆半色调结果的D值（前者5.9506，后者0.248），这意味着逆调的色调特征调幅图像的半色调结果与连续图像更加一致。用本文提出的方法进行半色调反演效果很好，该方法可应用于不同类型的半色调图像。并且，本文提出的质量评估指标D有助于避免PSNR与视觉结果不一致时的错误判断。

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