التفاصيل البيبلوغرافية
| العنوان: |
MULTISPECTRAL IMAGE RESTORATION USING A VECTOR-VALUED REACTION-DIFFUSION BASED MIXED NOISE REMOVAL TECHNIQUE. |
| المؤلفون: |
Barbu, T. |
| المصدر: |
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences; 2023, Vol. 10 Issue 1/W1, p351-356, 6p |
| مصطلحات موضوعية: |
IMAGE reconstruction, MULTISPECTRAL imaging, REMOTE sensing, IMAGE analysis, SPECTRAL imaging, QUANTUM noise, IMAGE denoising, NOISE, FINITE differences |
| مستخلص: |
A novel multispectral image filtering technique is proposed in this article. Since the multispectral images are often corrupted by mixed Poisson-Gaussian noise during the sensing and acquisition process, a nonlinear anisotropic diffusion-based restoration approach that deals efficiently with this type of noise mixture is considered here. A second-order vector-valued reaction-diffusion model that leads to a system of well-posed single-valued anisotropic diffusion equations coupled by correlation terms is introduced for this purpose. A finite difference method-based fast-converging approximation algorithm that solves numerically this nonlinear diffusion-based system is then proposed. This iterative numerical approximation scheme is successfully used for removing both the additive Gaussian and quantum noises while preserving the essential features of the multi-valued image. The effectiveness of the described mixed denoising technique is illustrated by the results of the restoration experiments and method comparisons that are also presented here. The proposed restoration approach enhances considerably the spectral image quality, making it well-prepared for the further MSI analysis and computer vision processes, such as the geospatial and remote sensing image analysis. [ABSTRACT FROM AUTHOR] |
|
Copyright of ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences is the property of Copernicus Gesellschaft mbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| قاعدة البيانات: |
Complementary Index |
Full Text Finder