中国空间科学技术

中国空间科学技术 ›› 2018, Vol. 38 ›› Issue (3): 54-59.doi: 10.16708/j.cnki.1000-758X.2018.0031

• 技术交流 • 上一篇    下一篇

基于信息隐藏的遥感图像分块压缩

崔涛，周诠*，黎军，呼延烺   

  1. 中国空间技术研究院 西安分院 空间微波技术重点实验室，西安  710100
  • 收稿日期:2017-10-10 修回日期:2017-11-21 接受日期:2018-03-14 出版日期:2018-06-25 发布日期:2018-03-06
  • 通讯作者: 周诠（1965-），男，研究员，cn504zq@sohu.com，研究方向为图像处理、高速数据处理与传输
  • 作者简介:崔涛（1984-），男，硕士，conan915@163.com，研究方向为高速数据处理与传输、图像处理
  • 基金资助:
    国家自然科学基金资助项目（61372175）

Block compression of remote sensing image based on data-hiding#br#

CUI Tao, ZHOU Quan*, LI Jun, HU Yanlang   

  1. National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology (Xi'an), Xi'an 710100, China
  • Received:2017-10-10 Revised:2017-11-21 Accepted:2018-03-14 Published:2018-06-25 Online:2018-03-06

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摘要： 目前JPEG2000等图像压缩方法受制于压缩倍数的限制，无法满足用户对海量遥感数据的实时传输要求，需要进一步减少高分辨率遥感图像产生的数据量，以满足遥感图像数据的空间传输要求。针对此情况提出了一种基于信息隐藏的遥感图像分块压缩方法，利用图像块的相似性判决出基准图像块和相似图像块，将相似图像块的编号隐藏在基准图像块中，只对基准图像块进行JPEG2000压缩。采用标准图像库作为样本图像进行仿真，结果表明,该方法将样本图像压缩前的数据量减少1/3，同时将该样本图像的压缩比提高1.5倍。

关键词: 信息隐藏, 遥感图像, 图像分块, 压缩, 相似性

Abstract:

At present, JPEG2000 and other image compression methods are limited by the compression multiple, which can not meet users’ real-time transmission requirements for mass remote sensing data. Therefore, the amount of data generated by high-resolution remote sensing images needs to be further reduced to meet the spatial transmission requirements of remote sensing image data. Aiming at this situation, a method for block compression of remote sensing image based on data-hiding was proposed. By using the similarity of image blocks, the reference image blocks and similar image blocks were determined. The numbers of similar image blocks are hidden in the reference image blocks, and only the reference image block is subjected to JPEG2000 compression. The standard image library was used as the sample image to simulate. The experimental results show that this method can reduce the amount of data before the image compression by 1/3 and increase the compression ratio of the sample image by 1.5 times.

Key words: data-hiding, remote sensing image, image block processing, compression, similarity