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Image segmentation for compression of images and image sequences

机译:图像分割,用于压缩图像和图像序列

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摘要

Region-based image coding schemes, the so-called second generation techniques, have gained much favour in recent years. For still picture coding, they can increase the compression ratio obtained by transform coding by an order of magnitude, while maintaining adequate image representation. The success of these techniques relies on the ability to describe regions in an image succinctly by their shape and size. The algorithms presented describe methods for segmenting images. Unlike most other region based algorithms, these algorithms incorporate knowledge of the border coding process in deciding how to partition the image. The extension from single image compression to sequential image compression is also considered. A new, efficient segmentation scheme is proposed that exploits temporal redundancies between successive images, and reduces some problems associated with error accumulation in error images.
机译:近年来,基于区域的图像编码方案,即所谓的第二代技术,受到了人们的广泛青睐。对于静止图像编码,它们可以将通过变换编码获得的压缩率提高一个数量级,同时保持足够的图像表示。这些技术的成功依赖于通过其形状和大小简洁地描述图像中区域的能力。提出的算法描述了分割图像的方法。与大多数其他基于区域的算法不同,这些算法在决定如何分割图像时会结合边界编码过程的知识。还考虑了从单图像压缩到顺序图像压缩的扩展。提出了一种新的,有效的分割方案,该方案利用了连续图像之间的时间冗余,并减少了与错误图像中错误累积相关的一些问题。

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