电子科技大学学报2017,Vol.46Issue(1):9-14,6.DOI:10.3969/j.issn.1001-0548.2017.01.002
基于配准和二次码率控制的光谱图像压缩
Compression for Satellite Multispectral Images Based on Band to Band Registration Pre-Processing and Twice-Iterated Rate Control
摘要
Abstract
Based on the framework of inter-band linear prediction and JPEG-LS, a compression scheme for unregistered satellite multispectral images is proposed. First of all, an integer-pixel band to band registration pre-processing method based on band reordering is presented according to the compression scheme to improve the poor spectral correlation and the compression performance of the multispectral images. Secondly, a rate control method based on twice-iterated adjustment is proposed to guarantee the output rate below the target rate strictly while approaching the target rate, so as to meet the transmission requirement better. Experimental results show that our proposed scheme is compatible with lossless and lossy compression, and outperforms other methods with simple implementation.关键词
谱段重排/谱段配准/多光谱图像压缩/码率控制Key words
band reordering/band to band registration/multispectral image compression/rate control分类
信息技术与安全科学引用本文复制引用
王柯俨,宋娟,李云松,郭杰..基于配准和二次码率控制的光谱图像压缩[J].电子科技大学学报,2017,46(1):9-14,6.基金项目
国家自然科学基金(61301291,61222101,61401324);中央高校基本科研业务费专项资金(K5051301015);高等学校创新引智基地项目(B08038);陕西省重点科技创新团队计划(2013KCT-02) (61301291,61222101,61401324)