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Wavelet transform in order to solve the CPU environment at runtime for high resolution image processing speed slow problem, using the GPU has the characteristic of a large number of programmable core, in view of the two-dimensional discrete wavelet transform Hal in SIMT (single instruction multithreading) under the environment of architecture of GPU parallel deduction, at the same time, adjust the GPU logical layout, data segmentation, The data synchronization mode is changed, and virtual addressing is adopted, which further increases the speed to 0.92ms, 51.1% higher than that in CPU environment, and 16.3% higher than that in SIMD architecture. The effect is remarkable and meets the real-time requirements.