Efficient Projective Transformation and Lanczos Interpolation on ARM Platform Using SIMD Instructions

This paper proposes a novel way of exploiting NEON SIMD instructions for accelerating projective transformation in ARM platforms. Instead of applying data parallelism to linear algorithms, we study the effectiveness of SIMD intrinsics on this non-linear algorithm. For image resampling, Lanczos interpolation is used since it is adequately accurate, despite its rather large complexity. Multithreading is also employed for optimal use of system resources. Moreover, qualitative and quantitative results of NEON's performance are presented and analyzed.