Chinese Space Science and Technology ›› 2018, Vol. 38 ›› Issue (3): 54-59.doi: 10.16708/j.cnki.1000-758X.2018.0031

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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 Online:2018-06-25 Published:2018-03-06

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