التفاصيل البيبلوغرافية
| العنوان: |
Robust Anisotropic Diffusion Scheme for Image Noise Removal |
| المؤلفون: |
Tudor Barbu |
| المصدر: |
KES |
| بيانات النشر: |
Elsevier BV, 2014. |
| سنة النشر: |
2014 |
| مصطلحات موضوعية: |
Computer science, business.industry, Anisotropic diffusion, Noise reduction, Perona-Malik filter, diffusivity conductance parameter, anisotropic diffusion, Edge enhancement, Edge-preserving smoothing, Thermal diffusivity, PDE-based image denoising, edge preservation, Computer Science::Computer Vision and Pattern Recognition, Image noise, General Earth and Planetary Sciences, Computer vision, Artificial intelligence, Diffusion (business), business, Algorithm, noise estimation, Smoothing, edge-stopping function, General Environmental Science |
| الوصف: |
An anisotropic diffusion-based image enhancement method is proposed in this article. The provided PDE denoising approach is derived from the well-known Perona-Malik nonlinear diffusion model, representing an improved version of it. Thus, we model a novel diffusivity function and explain the mathematical reasons behind it. The conductance parameter of our diffusion technique is automatically detected at each iteration. The proposed PDE-based smoothing technique provides satisfactory noise removal and edge enhancement results, outperforming the most diffusion-based approaches. |
| تدمد: |
1877-0509 |
| DOI: |
10.1016/j.procs.2014.08.133 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38db5820336a64a549649319bc3a61dd |
| Rights: |
OPEN |
| رقم الانضمام: |
edsair.doi.dedup.....38db5820336a64a549649319bc3a61dd |
| قاعدة البيانات: |
OpenAIRE |