扩展CCSDS 123.0-B-1的无损4D图像压缩

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2020-12-01 DOI:10.1109/VCIP49819.2020.9301765

Panpan Zhang, Xiuheng Wang, Tiande Gao, Zhenfu Feng, Jie Chen

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引用次数: 0

摘要

四维(4D)图像可以看作是在观测深度或时间帧通道上的体积图像的堆栈。这些数据包含了丰富的信息，但由于数据量大，对存储和传输资源的要求很高。本文提出了一种扩展CCSDS-123.0-B-1标准的4D图像无损压缩算法。该算法不是在四维图像的每个通道上单独压缩体积图像，而是有效地利用了数据的四维冗余。在两种4D图像上进行的实验验证了所提出的无损压缩方法的有效性。

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Extending CCSDS 123.0-B-1 for Lossless 4D Image Compression

A 4-dimensional (4D) image can be viewed as a stack of volumetric images over channels of observation depth or temporal frames. This data contains rich information at the cost of high demands for storage and transmission resources due to its large volume. In this paper, we present a lossless 4D image compression algorithm by extending CCSDS-123.0-B-1 standard. Instead of separately compressing the volumetric image at each channel of 4D images, the proposed algorithm efficiently exploits redundancy across the fourth dimension of data. Experiments conducted on two types of 4D images demonstrate the effectiveness of the proposed lossless compression method.

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2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)

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