Reconstruction of catadioptric omnidirectional images using dual alternating total variation minimization
| Autor: | Abdelhani Boukrouche, Soraya Zenati, Larbi Boubchir |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Control and Optimization
business.industry Computer science Spherical harmonics Stereographic projection 02 engineering and technology Total variation denoising 030218 nuclear medicine & medical imaging Computer Science Applications 03 medical and health sciences Catadioptric system 0302 clinical medicine Control and Systems Engineering Computer Science::Computer Vision and Pattern Recognition Modeling and Simulation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Noise (video) Deconvolution business Omnidirectional antenna Projection (set theory) |
| Zdroj: | Evolving Systems. 10:707-723 |
| ISSN: | 1868-6486 1868-6478 |
| DOI: | 10.1007/s12530-018-9257-5 |
| Popis: | This paper discusses the possibility to extend and apply the conventional two dimensional recovering images from blurry and noisy observation with the total variation regularization method to the catadioptric images. The principal in this special method is the stabilization of dual alternating minimization. The latter introduces two auxiliary half quadratic variables to transfer the system out of the ill-posed term. The main contribution of this paper is the use of the inverse stereographic projection and the spherical harmonics in order to adapt this proposed deconvolution with catadioptric omnidirectional images. The projection on the unit sphere of the omnidirectional image, is one way to alleviate the problem of the heterogeneous resolution and the negative effects of anamorphosis. In both anisotropic and isotropic deconvolutions, the experimental results conducted on synthetic as well as captured catadioptric omnidirectional images which are subject to various effects, confirm the performance of the proposed method to restore such images impaired by the blur and noise. Compared with several state-of-the-art approaches, the images resulted can achieve up to an acceptable and higher level of deconvolution quality. |
| Databáze: | OpenAIRE |
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