scholarly journals SAR image data compression using a tree-structured wavelet transform

2001 ◽  
Vol 39 (3) ◽  
pp. 546-552 ◽  
Author(s):  
Zhaohui Zeng ◽  
I.G. Cumming
Keyword(s):  
Wavelet Transform ◽  
Data Compression ◽  
Image Data ◽  
Sar Image ◽  
Image Data Compression

scholarly journals A 13.3 Gbps 9/7M Discrete Wavelet Transform for CCSDS 122.0-B-1 Image Data Compression on a Space-Grade SRAM FPGA

Electronics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 1234 ◽  
Author(s):  
Elias Machairas ◽  
Nektarios Kranitis
Keyword(s):  
Wavelet Transform ◽  
Data Compression ◽  
Discrete Wavelet Transform ◽  
High Speed ◽  
Image Data ◽  
Discrete Wavelet ◽  
Seamless Integration ◽  
Image Data Compression ◽  
Space Data ◽  
Sram Fpga

Remote sensing is recognized as a cornerstone monitoring technology. The latest high-resolution and high-speed spaceborne imagers provide an explosive growth in data volume and instrument data rates in the range of several Gbps. This competes with the limited on-board storage resources and downlink bandwidth, making image data compression a mission-critical on-board processing task. The Consultative Committee for Space Data Systems (CCSDS) Image Data Compression (IDC) standard CCSDS-122.0-B-1 is a transform-based 2D image compression algorithm designed specifically for use on-board a space platform. In this paper, we introduce a high-performance architecture for a key-part of the CCSDS-IDC algorithm, the 9/7M Integer Discrete Wavelet Transform (DWT). The proposed parallel architecture achieves 2 samples/cycle while the very deep pipeline enables very high clock frequencies. Moreover, it exploits elastic pipeline principles to provide modularity, latency insensitivity and distributed control. The implementation of the proposed architecture on a Xilinx Kintex Ultrascale XQRKU060 space-grade SRAM FPGA achieves state-of-the-art throughput performance of 831 MSamples/s (13.3 Gbps @ 16bpp) allowing seamless integration with next-generation high-speed imagers and on-board data handling networking technology. To the best of our knowledge, this is the fastest implementation of the 9/7M Integer DWT on a space-grade FPGA, outperforming previous implementations.

Sign in / Sign up

Export Citation Format

Share Document