Abstract: Intel integrated performance primitives is a high-performance multimedia acceleration library for signal and image processing.However,as of now,there is no high-performance IPP library based on the ARM architecture.This paper implements a high-performance algorithm library PerfIPP based on the ARM computing platform for basic image geometric transformation algorithms such as mirror,remap,and affine/perspective transformation.The PerfIPP,optimized through SIMD assembly,memory alignment,data pre-calculation,high-performance matrix optimization techniques,has significantly improved the performance of the above algorithms.At the same time,This paper summarizes the key technologies for the realization and optimization of image geometric transformation algorithms on the ARM computing platform by comparing the performance differences brought about by different instruction combinations,different instruction arrangements,and different access and storage methods.Experimental results show that,on the Huawei Kunpeng 920 platform,thePerfIPP proposed in this paper can achieve 108.08%~435.5% performance improvement in image transformation compared with the open source computer vision library while meeting accuracy.It also achieves 83.79% of the average performance of Intel IPP library on Intel Xeon E5-2640 processor.

Key words: IPP, ARM, NEON Intrinsic, Geometry Transforms, Interpolation