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Removal of Artifacts from JPEG Compressed Document Images

机译:去除JPEG压缩文档图像中的伪像

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摘要

We present a segmentation-based post-processing method to remove compression artifacts from JPEG compressed document images. JPEG compressed images typically exhibit ringing and blocking artifacts, which can be objectionable to the viewer above certain compression levels. The ringing is more dominant around textual regions while the blocking is more visible in natural images. Despite extensive research, reducing these artifacts in an effective manner still remains challenging. Document images are often segmented for various reasons. As a result, the segmentation information in many instances is available without requiring additional computation. We have developed a low computational cost method to reduce ringing and blocking artifacts for segmented document images. The method assumes the textual parts and pictorial regions in the document have been separated from each other by an automatic segmentation technique. It performs simple image processing techniques to clean out ringing and blocking artifacts from these regions.
机译:我们提出一种基于分段的后处理方法,以从JPEG压缩文档图像中删除压缩伪像。 JPEG压缩图像通常会出现振铃和阻塞伪影,在某些压缩级别以上的观看者可能会讨厌。铃声在文本区域周围更为明显,而遮挡在自然图像中更明显。尽管进行了广泛的研究,以有效的方式减少这些伪影仍然具有挑战性。文档图像经常由于各种原因而被分割。结果,在许多情况下分割信息是可用的,而不需要额外的计算。我们开发了一种低计算成本的方法来减少分段文档图像的振铃和阻塞伪影。该方法假定文档中的文本部分和图片区域已通过自动分割技术彼此分开。它执行简单的图像处理技术,以清除这些区域中的振铃和阻塞伪影。

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