Authors:
Konstantinos Papadopoulos
and
Kyriakos Vlachos
Affiliation:
University of Patras, Greece
Keyword(s):
NEON, SIMD, Image Processing, Projective Transformation.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
Abstract:
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.