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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lei He |
| Copyright Year | 2008 |
| Description | Author affiliation: Inf. Technol. Dept., Armstrong Atlantic State Univ., Savannah, GA (Lei He) |
| Abstract | This paper presents a novel anisotropic diffusion framework for color image denoising. Unlike previous approaches, our method is based on separating a color image into hue, saturation and intensity (HSI) components, and then diffusing each component with spatially varying weighted partial differential equations (PDE). The hue denoising is implemented by a new weighted orientation diffusion, and the saturation diffusion is a modified curvature flow. The intensity diffusion PDE is a combination of a gradient vector flow (GVF)-based filter and a fourth-order filter. This combined technique provides a robust and accurate denoising process, i.e., it preserves edges well and at the same time overcomes the staircase effect in smooth regions. The denoising experiments on a set of standard color images have shown satisfactory results. |
| Starting Page | 581 |
| Ending Page | 584 |
| File Size | 358304 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417650 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2008.4711821 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Color Noise reduction Image denoising TV Anisotropic magnetoresistance Partial differential equations Filters Smoothing methods Helium Information technology partial differential equation Anisotropic diffusion color image denoising orientation diffusion |
| Content Type | Text |
| Resource Type | Article |
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