Architecture and implementation of Shape Adaptive Discrete Wavelet Transform for remote sensing image onboard compression

摘要: 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. stage-based boundary extension strategy used to extend locally in every lifting stage, which most difference contrasting general DWT. Through changing pixel scanning order by interlaced read scan algorithm, amount needed between row column transform significantly reduced. Finally, our proposed architecture implemented using Xilinx XC5VFX130T FPGA. experimental results show that has high performance advantages terms processing speed resource consumption, satisfies requirement image.