Image compression using calic

Rohini N. Shrikhande, V. Bairagi
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引用次数: 2

Abstract

Lossless data compression has been suggested for many space science exploration mission applications either to increase the science return or to reduce the requirement for on-board memory, station contact time, and data archival volume. A Lossless compression technique guarantees full reconstruction of the original data without incurring any distortion in the process. In this study we evaluate the performance of several lossless grayscale image compression algorithms like CALIC.
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图像压缩使用calic
无损数据压缩已被广泛应用于空间科学探测任务中,以提高科学回报或减少对星载存储器、空间站接触时间和数据存档量的要求。无损压缩技术保证了原始数据的完全重建,而不会在此过程中产生任何失真。在本研究中,我们评估了几种无损灰度图像压缩算法的性能,如CALIC。
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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