Nowadays wavelet transform has been one of the most effective transform means in the realm of image processing,
especially the biorthogonal 9/7 wavelet filters proposed by Daubechies, which have good performance in image
compression. This paper deeply studied the implementation and optimization technologies of 9/7 wavelet lifting scheme
based on the DSP platform, including carrying out the fixed-point wavelet lifting steps instead of time-consuming
floating-point operation, adopting pipelining technique to improve the iteration procedure, reducing the times of
multiplication calculation by simplifying the normalization operation of two-dimension wavelet transform, and
improving the storage format and sequence of wavelet coefficients to reduce the memory consumption. Experiment
results have shown that these implementation and optimization technologies can improve the wavelet lifting algorithm's
efficiency more than 30 times, which establish a technique foundation for successfully developing real-time remote
sensing image compression system in future.
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