关键词: 高斯滤波, 可分离滤波器, 递归高斯滤波器, 统一计算设备架构, 图形处理器

Abstract: There are some image filtering algorithms based on CUDA, but some of them are not clearly described, and no one to compare the performance of these algorithms, which brings difficulties for understanding and using these algorithms. This paper discusses five different Gaussian image filters based on CUDA, they are naive method, separable share memory method, separable texture memory method, FFT convolution filtering and recursive Gaussian filter. Core ideas are emphasized, time complexities are compared, and performances are analyzed through experiments.

Key words: Gaussian filter, separable filter, recursive Gaussian filter, Compute Unified Device Architecture（CUDA）, Graphics Processing Unit（GPU）