论文标题
稀疏二进制图像的编码策略的系统评估
A Systematic Evaluation of Coding Strategies for Sparse Binary Images
论文作者
论文摘要
基于内部的压缩以其像素数据的稀疏子集表示图像。存储已知数据的精心优化位置会在稀疏且经常散布的二进制图像上产生无损的压缩问题。这个中心问题对于此类编解码器的性能至关重要。由于它在文献中很少受到关注，因此到目前为止，我们对此问题进行了首次系统调查。为此，我们首先审查并比较了图像压缩和通用编码的广泛现有方法，从其编码效率和运行时进行了比较。之后，一项消融研究使我们能够识别和隔离现有方法的最有用的组成部分。通过上下文混合，我们将这些成分结合到新的编解码器中，这些编解码器具有更好的压缩比或速度和性能之间更有利的权衡。
Inpainting-based compression represents images in terms of a sparse subset of its pixel data. Storing the carefully optimised positions of known data creates a lossless compression problem on sparse and often scattered binary images. This central issue is crucial for the performance of such codecs. Since it has only received little attention in the literature, we conduct the first systematic investigation of this problem so far. To this end, we first review and compare a wide range of existing methods from image compression and general purpose coding in terms of their coding efficiency and runtime. Afterwards, an ablation study enables us to identify and isolate the most useful components of existing methods. With context mixing, we combine those ingredients into new codecs that offer either better compression ratios or a more favourable trade-off between speed and performance.
