Compression of silhouette-like images based on WFA

K. Culík, V. Valenta, J. Kari
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引用次数: 15

Abstract

Summary form only given. The authors present the design a lossy fractal compression method for silhouette-like bi-level images that has an excellent quality to compression rate ratio. Their approach is based on weighted finite automata (WFA). We reduce the problem of the encoding of a silhouette-like bi-level image to the encoding of two one-variable functions describing the boundary (-ies) of the black and white regions of the given image. One advantage is that the automata encoding different bitplanes can share states.
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基于WFA的类轮廓图像压缩
只提供摘要形式。本文设计了一种有损分形压缩方法,对类剪影双级图像进行压缩,并获得了较好的质量和压缩率比。该方法基于加权有限自动机(WFA)。我们将类轮廓双级图像的编码问题简化为描述给定图像的黑白区域边界(-ies)的两个单变量函数的编码。一个优点是编码不同位面的自动机可以共享状态。
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