GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion

Yanhui GUO; Wei WEİ

Makale detayları

GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion

Yazarlar:

Yanhui GUO | Wei WEİ

Yayıncı:

Fırat University

Dergi:

Turkish Journal of Science and Technology 2015 Vol.10 Issue 2, pp.23-27

Belge Tipi:

Makale

Yayın Tarihi:

5/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000639337

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080

Özet:

 

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.

Makale detayları

GPU Accelerated Image Noise Removal Approach Based on Subpixel Anisotropic Diffusion

Yazarlar: Yanhui GUO | Wei WEİ

Yayıncı: Fırat University

Dergi: Turkish Journal of Science and Technology 2015 Vol.10 Issue 2, pp.23-27

Belge Tipi: Makale

Yayın Tarihi: 5/2015

Belge Dili: Türkçe

Document ID (Org No.): 2000639337

Sıklık: Aylık

eISSN: 1308-9099

pISSN: 1308-9080

Sayı

Yazarlar:

Yanhui GUO | Wei WEİ

Yayıncı:

Fırat University

Dergi:

Turkish Journal of Science and Technology 2015 Vol.10 Issue 2, pp.23-27

Belge Tipi:

Makale

Yayın Tarihi:

5/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000639337

Sıklık:

Aylık

eISSN:

1308-9099

pISSN:

1308-9080