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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

https://izlik.org/JA78CD58FL

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

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

Yanhui Guo Wei Wei

https://izlik.org/JA78CD58FL

Abstract

There are 0 citations in total.

Details

Other ID JA33RV24AC
Authors

Yanhui Guo This is me

Wei Wei This is me

Submission Date June 1, 2015
Publication Date June 1, 2015
IZ https://izlik.org/JA78CD58FL
Published in Issue Year 2015 Volume: 10 Issue: 2

Cite

APA Guo, Y., & Wei, W. (2015). GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion. Turkish Journal of Science and Technology, 10(2), 23-27. https://izlik.org/JA78CD58FL
AMA 1.Guo Y, Wei W. GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion. TJST. 2015;10(2):23-27. https://izlik.org/JA78CD58FL
Chicago Guo, Yanhui, and Wei Wei. 2015. “GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion”. Turkish Journal of Science and Technology 10 (2): 23-27. https://izlik.org/JA78CD58FL.
EndNote Guo Y, Wei W (June 1, 2015) GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion. Turkish Journal of Science and Technology 10 2 23–27.
IEEE [1]Y. Guo and W. Wei, “GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion”, TJST, vol. 10, no. 2, pp. 23–27, June 2015, [Online]. Available: https://izlik.org/JA78CD58FL
ISNAD Guo, Yanhui - Wei, Wei. “GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion”. Turkish Journal of Science and Technology 10/2 (June 1, 2015): 23-27. https://izlik.org/JA78CD58FL.
JAMA 1.Guo Y, Wei W. GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion. TJST. 2015;10:23–27.
MLA Guo, Yanhui, and Wei Wei. “GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion”. Turkish Journal of Science and Technology, vol. 10, no. 2, June 2015, pp. 23-27, https://izlik.org/JA78CD58FL.
Vancouver 1.Yanhui Guo, Wei Wei. GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion. TJST [Internet]. 2015 Jun. 1;10(2):23-7. Available from: https://izlik.org/JA78CD58FL