Breakpoint skeletal representation and compression of document images

David Tam, W. Barrett, B. Morse, Eric N. Mortensen
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引用次数: 1

Abstract

Summary form only given. We present a new method for representation and (lossy) compression of bitonal document images. The technique extracts a skeletal medial axis from each object using a true Euclidean distance map of the image and then finds piecewise linear breakpoints in the skeleton to create a breakpoint skeletal representation, b.p.s. The b.p.s. is encoded for each object as a set of triples. The original binary object is reconstructed by first reconstructing the skeleton using linear interpolation between breakpoints and then fractionally dilating each point on the skeleton with the (linearly interpolated) radius, r/sub i/. For noninteger r/sub i/ fractional dilation provides a natural antialiasing in the reconstructed image. Breakpoints can be extracted to preserve fine detail or a more coarse representation by tightening or relaxing the pruning radius respectively. If, in extracting breakpoints, the pruning radius is set to zero, the reconstruction is almost lossless, but the compression is worse.
断点骨架表示和文档图像的压缩
只提供摘要形式。我们提出了一种新的对位文档图像的表示和有损压缩方法。该技术使用图像的真正欧几里得距离图从每个对象提取骨骼内侧轴,然后在骨架中找到分段线性断点,以创建断点骨骼表示,b.p.s.。b.p.s.为每个对象编码为一组三元组。首先利用断点之间的线性插值重建骨架,然后用(线性插值的)半径r/下标i/对骨架上的每个点进行分式扩展,从而重建原始二进制对象。对于非整数r/下标i/分数扩张在重建图像中提供了自然的抗混叠。可以分别通过收紧或放松剪枝半径来提取断点以保留精细的细节或更粗糙的表示。如果在提取断点时,剪枝半径设为零,重构几乎是无损的,但压缩较差。
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