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星载图像压缩中的无损预测研究
Alternative TitleStudy on lossless prediction for space-borne remote-sensing images compression
魏永旺; 罗海波; 张承宁; 邵楚雯
Department光电信息技术研究室
Source Publication计算机工程与设计
ISSN1000-7024
2012
Volume33Issue:6Pages:2328-2333
Indexed ByCSCD
CSCD IDCSCD:4556181
Contribution Rank1
Funding Organization中国科学院沈阳自动化所先进制造基地支持基金项目(07F4090401)
Keyword星载遥感图像 无损压缩 预测 残差映射 Rice算法
Abstract针对星载遥感图像自相关系数较大时MED预测比较理想,反之均值Mean预测更有优势的问题,融合该两种方法的优点提出了改进的MED预测,使之对多种类别的图像特别是遥感图像能够取得较好的预测效果。此外,从预测相关性、运算复杂度、是否带有自动误码纠偏以及采用Rice算法获得的压缩比等角度进行了两种预测残差映射器的研究,确定了选用带自动误码纠偏的差值映射和可调整的预测方式。当信源干扰多大时选取前像素预测,反之采用MED或改进的MED预测,从而兼顾了压缩比和抗误码两方面,且硬件可实现。
Other AbstractAccording to characteristics of space-borne remote-sensing images,through analysis and experiments,we found that when the image is with the large correlation coefficient(close to 1),MED prediction effect is more ideal;while the image is with the correlation coefficient that is not too large,the Mean prediction are more advantageous.So an improved MED predition combining these two proposed prediction methods is proposed for the images with a variety of categories,especially for space-borne remote-sensing Images.In addition the principle and performance of two residual mappers,especially in compression rate and the error resilience performance for Rice algorithm are analysed.Considering compression rate and quality of the restruction image,the prediction uses an adjustable way,with automatic error correction mapper.When there is more signal interference sources: 1D liner predictor is selected,contrariwise the improved MED or MED,so that one can take into account both the compression ratio and error resilience aspects and simplicity in hardware implementation is also obtained. 更多
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10060
Collection光电信息技术研究室
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院光电信息处理重点实验室
3.辽宁省图像理解与视觉计算重点实验室
4.北华大学电气信息工程学院
5.东南大学电气工程学院
Recommended Citation
GB/T 7714
魏永旺,罗海波,张承宁,等. 星载图像压缩中的无损预测研究[J]. 计算机工程与设计,2012,33(6):2328-2333.
APA 魏永旺,罗海波,张承宁,&邵楚雯.(2012).星载图像压缩中的无损预测研究.计算机工程与设计,33(6),2328-2333.
MLA 魏永旺,et al."星载图像压缩中的无损预测研究".计算机工程与设计 33.6(2012):2328-2333.
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