基于信息隐藏的遥感图像分块压缩

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。

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

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.