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Multiscale Probabilistic Dithering for Suppressing Contour Artifacts in Digital Images

机译:多尺度概率抖动抑制数字图像中的轮廓伪像

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摘要

A method is proposed for reducing the visibility of ldquocontour artifacts,rdquo i.e., false contours resulting from color quantization in digital images. The method performs a multiscale analysis on the neighborhood of each pixel, determines the presence and scale of contour artifacts, and probabilistically dithers (perturbs) the color of the pixel. The overall effect is to ldquobreak downrdquo the false contours, making them less visible. The proposed method may be used to reduce contour artifacts at the same bit depth as the input image or at higher bit depths. The contour artifact detection mechanism ensures that artifact-free regions remain unaffected during the process.
机译:提出了一种用于减少“轮廓轮廓”伪影(即由数字图像中的颜色量化导致的假轮廓)的可见性的方法。该方法对每个像素的邻域执行多尺度分析,确定轮廓伪影的存在和比例,并概率抖动(扰动)像素的颜色。总体效果是“分解”了错误的轮廓,使其不太明显。所提出的方法可以用于减少与输入图像相同的比特深度或较高的比特深度的轮廓伪影。轮廓伪影检测机制可确保无伪影区域在此过程中不受影响。

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