GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion

Year 2015, Volume: 10 Issue: 2, 23 - 27, 01.06.2015

Yanhui Guo Wei Wei

Abstract

Denoising is the critical step in digital imaging. This paper improved an image removal algorithm based on subpixel
anisotropic diffusion and GPU accelerate technique. The subpixel difference of an image is explored into the
diffusion equation (DE). The DE is solved numerically in the subpixel domain and accelerated by using GPU
processing. A GPU implementation of the algorithm is presented to alleviate the time costs. The noise is removed
using the diffusion procedure. The experimental results show that the proposed algorithm achieved better
performance with same denoising results with less time consumptions the GPU acceleration improved the algorithm
more suitable for real time application.

Keywords

Diffusion equation, subpixel, image noise removal, blocky effect, GPGPU, OpenCL