改进CCSDS图像数据压缩

Jinitha Prem, Dominic Mathew
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引用次数: 0

摘要

空间数据系统咨询委员会(CCSDS)的数据压缩包括对图像进行二维离散小波变换,然后对变换后的数据进行位平面编码。该算法可以提供无损压缩和有损压缩,并允许用户直接控制压缩数据量或重建小波变换后数据的保真度。与标准推荐算法相比,提出的算法产生了更好的率失真性能,并适用于近地和深空任务。该方法将CCSDS标准中使用的Rice编码替换为亚指数编码,提高了码率失真性能,对噪声和异常值具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified CCSDS image data compression
Consultative Committee for Space Data Systems (CCSDS) data compression consists of a two dimensional discrete wavelet transform of the image, followed by bit-plane coding of the transformed data. The algorithm can provide both lossless and lossy compression, and allows a user to directly control the compressed data volume or the fidelity with which the wavelet-transformed data can be reconstructed. The proposed algorithm yields better rate-distortion performance and has applications for near-earth and deep-space missions when compared to the standard recommendation. In the proposed method the Rice codes used in the CCSDS standard is replaced by subexponential coding which improves the rate-distortion performance and is robust against noise and outliers.
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