面向遥感影像的JPEG2000优化压缩算法

Remote Sensing Image-oriented JPEG2000 Optimized Compression Algorithm

在常规的JPEG2000压缩框架下,提出一种面向遥感影像的JPEG2000优化压缩算法,对遥感图像整体处理传输耗时进行分段处理,在EBCOT编码中合并编码通道扫描过程及编码过程,实现对遥感图像编/解码过程用时的优化,在小波变换后清除高频子带小波系数中非重要的背景信息,并缩减相对重要信息的处理过程,从而缩短了与压缩比和图像大小密切相关的传输时间。实验结果表明,该算法在几乎不影响遥感图像质量的情况下可以显著提高遥感图像整体压缩、传输和重构的效率,缩短其处理耗时。

Based on the frame of conventional JPEG2000 compression,a segment treatment compression algorithm is put forward to solve the problem of time-consuming processing of remote sensing image. In the coding channel,the scanning stage is combined with the coding stage,so the time of the coding and deciphering process is reduced. After wavelet transformations,unimportant background information of the wavelet coefficient in high frequency sub-bands is eliminated and the handling process of important information is shortened,so the transmission time which has much correlation about compression ratios and data volume can be reduced significantly. Experimental results show the time of the remote sensing image compression,transmission and reconstruction of this algorithm can be shortened without image quality reduced.