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Image deconvolution using multigrid natural image prior and its applications.
| Content Provider | CiteSeerX |
|---|---|
| Author | Hou, Tingbo Wang, Sen Qin, Hong Miller, Rodney L. |
| Abstract | The natural image prior has been shown as a powerful tool for image deblurring in recent work, while its performance against noise and various applications have not been thoroughly studied. In this paper, we present a multigrid natural image prior for image deconvolution that enhances its robustness against noise, and furnish three applications of image deconvolution using this prior: deblurring, super-resolution and denoising. The prior is based on a remarkable property of natural images that derivatives with different resolutions are subject to the same heavy-tailed distribution with a spatial factor. It can serve in both blind and non-blind deconvolutions. The performances of the proposed prior in different applications are demonstrated by corresponding experimental results. Index Terms — Image deblurring, natural image prior, super-resolution, image denoising 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Image Deconvolution Natural Image Different Application Experimental Result Natural Image Prior Multigrid Natural Image Different Resolution Spatial Factor Image Deblurring Index Term Image Deblurring Powerful Tool Various Application Remarkable Property Non-blind Deconvolutions Heavy-tailed Distribution Recent Work |
| Content Type | Text |
