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FPGA implement method for two-dimensional integer wavelet transform in the space-based on-orbit image compression system
Jie, Wang1,2; Yan, Tian(田雁)1; Xiangsheng, Meng(孟祥笙)1; Tong, Liu1,2
2017
会议名称2nd International Conference on Photonics and Optical Engineering
会议录名称Second International Conference on Photonics and Optical Engineering
卷号10256
会议日期2016-10-14
会议地点Xi'an, China
出版者SPIE
产权排序1
摘要

The image obtained from space-based vision system has increasingly high frame frequency and resolution, and field of view is also growing. Due to the dramatic increase of data scale and the restriction of channel bandwidth between satellite and ground, on-orbit data compression becomes the core of on-satellite data processing. The paper analyzes the new generation static image compression standard JPEG2000 and the key two-dimensional (2D) discrete wavelet transform (DWT) technology. Then an FPGA (Field Programmable Gate Array)implement method for 2D integer wavelet transform is designed. It adopts the spatial combinative lifting algorithm (SCLA), which realizes the simultaneous transformation on rows and columns. On this basis, the paper realizes wavelet decomposition for images with a resolution of 6576∗4384 (which is divided into 1024∗1024) on the FPGA platform. In particular, the test platform is built in ISE14.7 simulation software, and the device model is xc5vfx100t. The design has passed the FPGA verification. In order to verify the correctness of the algorithm, the results are compared with that obtained by running matlab code. The experimental results show that the design is correct and the resource occupancy rate is low. © 2017 SPIE.

作者部门光电测量技术实验室
DOI10.1117/12.2257416
收录类别EI ; ISTP
语种英语
ISSN号0277786X
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/28836
专题光电跟踪与测量技术研究室
作者单位1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; 710119, China
2.University of Chinese, Academy of Sciences, Beijing; 100049, China
推荐引用方式
GB/T 7714
Jie, Wang,Yan, Tian,Xiangsheng, Meng,et al. FPGA implement method for two-dimensional integer wavelet transform in the space-based on-orbit image compression system[C]:SPIE,2017.
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