Pixel level interleaving schemes for robust image communication

R. Hasimoto-Beltrán, A. Khokhar
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引用次数: 10

Abstract

Interleaving schemes have proven to be an important mechanism in reducing the effect of network errors on image transmission. Current interleaving schemes spatially decorrelate neighboring image blocks by putting them into packets that are a long way apart from each other in the transmission sequence. Most of the existing schemes, while achieving good performance on random packet losses, do not work well in the case of bursty packet losses. In this paper, we propose two interleaving schemes where the decorrelation process is applied not only at the block level but also at the pixel or coefficient level (i.e. on the information within the blocks) in the compressed domain. The decorrelation is achieved via a k-way shuffle of pixels among the blocks and by using the spatial properties of different space-filling curves, where k depends on the total number of blocks in the image. Our results show that in spite of the decorrelation of coefficients in the triangular interleaving scheme, the compression ratio is within 92% to -98% of JPEG standard compression. We also show that, when compared with existing interleaving schemes, our techniques provide improved image quality and a low mean square error in the transmitted images in the presence of random as well as bursty packet losses in networks.
鲁棒图像通信的像素级交错方案
交错传输是减少网络误差对图像传输影响的重要机制。当前的交错方案通过将相邻图像块放入传输序列中彼此相距很远的数据包中,在空间上去相关。现有的大多数方案虽然在随机丢包情况下具有良好的性能,但在突发丢包情况下却不能很好地工作。在本文中,我们提出了两种交织方案,其中去相关过程不仅应用于块级,而且应用于压缩域中的像素或系数级(即块内的信息)。去相关是通过在块之间对像素进行k-way洗牌和使用不同空间填充曲线的空间属性来实现的,其中k取决于图像中块的总数。我们的结果表明,尽管三角形交错方案中的系数去相关,但压缩比在JPEG标准压缩的92%到-98%之间。我们还表明,与现有的交错方案相比,我们的技术在网络中存在随机和突发数据包丢失的情况下提供了更好的图像质量和较低的均方误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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