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arXiv 0910.3733astro-ph.IM
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CCD检测器的最优DN编码

Optimal DN encoding for CCD detectors

Robert L. Seaman, Richard L. White, William D. Pence

摘要:

图像压缩一直是ADASS演讲的常见主题。压缩通常被视为一种将更多数据放入更小空间的技术。相反,数据的打包(其“密度”)影响本地数据处理、长距离数据传输和工作流的端到端吞吐量的各个方面。简而言之,压缩是正确的数据结构的一个方面。例如,通过FITS瓦片压缩,数据的有效表示与用于其操作的表达性逻辑范例相结合。还有一个更深层次的问题。不仅仅是如何最好地表示数据,而是要表示哪些数据。CCD是线性器件。这是什么意思?它并不意味着像素的模数转换必须使用线性数据数(DN)存储。提出了一种使用非线性表示的替代策略,其中一个动机是放大诸如Rice的数值压缩算法的效率。

英文摘要:

Image compression has been a frequent topic of presentations at ADASS. Compression is often viewed as just a technique to fit more data into a smaller space. Rather, the packing of data - its "density" - affects every facet of local data handling, long distance data transport, and the end-to-end throughput of workflows. In short, compression is one aspect of proper data structuring. For example, with FITS tile compression the efficient representation of data is combined with an expressive logistical paradigm for its manipulation. A deeper question remains. Not just how best to represent the data, but which data to represent. CCDs are linear devices. What does this mean? One thing it does not mean is that the analog-to-digital conversion of pixels must be stored using linear data numbers (DN). An alternative strategy of using non- linear representations is presented, with one motivation being to magnify the efficiency of numerical compression algorithms such as Rice.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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