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Training-based Algorithm for Moire Suppression in Scanned Halftone Images

机译:基于训练的扫描半色调图像中的波纹抑制算法

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摘要

Conventional electrophotographic printers tend to produce Moire artifacts when used for printing images scanned from printed material such as books and magazines. We propose a novel descreening algorithm that removes a wide range of Moire-causing screen frequencies in a scanned document while preserving image sharpness and edge detail. We develop two non-linear noise removal algorithms, resolution synthesis denoising (RSD) and modified SUSAN filtering, and use the combination of the two to achieve a robust descreening performance. The RSD predictor is based on a stochastic image model whose parameters are optimized in an offline training algorithm using pairs of spatially registered original and scanned images obtained from real scanners and printers. The RSD algorithm works by classifying the local window around the current pixel in the scanned image and then applying linear filters optimized for the selected classes. The modified SUSAN filter uses the output of RSD for performing an edge-preserving smoothing on the raw scanned data and produces the final output of the descreening algorithm.rnThe performance of the descreening algorithm was evaluated on a variety of test documents obtained from different printing sources. The experimental results demonstrate that the algorithm suppresses halftone noise without deteriorating text and image quality.
机译:常规的电子照相打印机在用于打印从诸如书籍和杂志之类的打印材料扫描的图像时,往往会产生莫尔条纹。我们提出了一种新颖的去网纹算法,该算法可在保留图像清晰度和边缘细节的同时,消除扫描文档中引起莫尔条纹的各种频率。我们开发了两种非线性噪声消除算法,即分辨率合成降噪(RSD)和改进的SUSAN滤波,并结合使用这两种算法来实现强大的去屏蔽性能。 RSD预测器基于随机图像模型,该模型的参数在脱机训练算法中使用了从真实扫描仪和打印机获得的成对的空间配准原始图像和扫描图像进行了优化。 RSD算法的工作方式是对扫描图像中当前像素周围的局部窗口进行分类,然后应用针对所选类别优化的线性滤波器。修改后的SUSAN过滤器使用RSD的输出对原始扫描数据执行边缘保留平滑处理,并生成去网纹算法的最终输出.rn对从不同打印源获得的各种测试文档进行了去网纹算法的性能评估。 。实验结果表明,该算法可以在不降低文本和图像质量的情况下抑制半色调噪声。

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