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Vectorising and Feature-Based Filtering for Line-Drawing image Compression

机译:矢量化和基于特征的线描图像压缩过滤

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摘要

A three-stage method for compressing bi-level line-drawing images is proposed. In the first stage, the raster image is vectorised using a combination skeletonising and line tracing algorithm. A feature image is then reconstructed from the vector elements extracted. In the second stage, the original image is processed by a feature-based filter for removing noise in the objects out-line. This improves Image quality and compression performance. In the final stage, the filtered raster image is compressed using a standard compression Technique, JBIG. For a set of test images, the method achieves a compression ratio of 40:1 in comparison to 33:1 of JBIG
机译:提出了一种二级画线图像的压缩方法。在第一阶段,使用组合骨架化和线跟踪算法对光栅图像进行矢量化处理。然后从提取的矢量元素中重建特征图像。在第二阶段中,原始图像由基于特征的滤波器处理,以在线去除对象中的噪声。这样可以提高图像质量和压缩性能。在最后阶段,使用标准压缩技术JBIG压缩滤波后的光栅图像。对于一组测试图像,与JBIG的33:1相比,该方法实现了40:1的压缩率

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