Abstract
The Shape Adaptive Discrete Wavelet Transform (SA-DWT) is an important part of the onboard compression for remote sensing image with cloud region. This paper designs and implements a fast, memory efficient multi-level two-dimensional SA-DWT architecture. The stage-based boundary extension strategy is used to extend the boundary locally in every lifting stage, which is the most important difference contrasting to the general DWT. Through changing the pixel scanning order by the interlaced read scan algorithm, the amount of memory needed between the row and column transform is significantly reduced. Finally, our proposed architecture is implemented by using the Xilinx XC5VFX130T FPGA. The experimental results show that the proposed architecture has high performance and advantages in terms of processing speed and resource consumption, and satisfies the requirement of the onboard compression for remote sensing image.
Published Version
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