CAJ | 학술논문

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.
재상규적JPEG2000압축광가하,제출일충면향요감영상적JPEG2000우화압축산법,대요감도상정체처리전수모시진행분단처리,재EBCOT편마중합병편마통도소묘과정급편마과정,실현대요감도상편/해마과정용시적우화,재소파변환후청제고빈자대소파계수중비중요적배경신식,병축감상대중요신식적처리과정,종이축단료여압축비화도상대소밀절상관적전수시간.실험결과표명,해산법재궤호불영향요감도상질량적정황하가이현저제고요감도상정체압축、전수화중구적효솔,축단기처리모시.
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.