Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional Images
We propose a new method of image restoration for catadioptric defocus blur using omnitotal variation (Omni-TV) minimization based on omnigradient. Catadioptric omnidirectional imaging systems usually consist of conventional cameras and curved mirrors for capturing 360° field of view. The problem of...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | International Journal of Optics |
| Online Access: | http://dx.doi.org/10.1155/2014/732937 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850106469906644992 |
|---|---|
| author | Yongle Li Jingtao Lou |
| author_facet | Yongle Li Jingtao Lou |
| author_sort | Yongle Li |
| collection | DOAJ |
| description | We propose a new method of image restoration for catadioptric defocus blur using omnitotal variation (Omni-TV) minimization based on omnigradient. Catadioptric omnidirectional imaging systems usually consist of conventional cameras and curved mirrors for capturing 360° field of view. The problem of catadioptric omnidirectional imaging defocus blur, which is caused by lens aperture and mirror curvature, becomes more severe when high resolution sensors and large apertures are used. In an omnidirectional image, two points near each other may not be close to one another in the 3D scene. Traditional gradient computation cannot be directly applied to omnidirectional image processing. Thus, omnigradient computing method combined with the characteristics of catadioptric omnidirectional imaging is proposed. Following this Omni-TV minimization is used as the constraint for deconvolution regularization, leading to the restoration of defocus blur in an omnidirectional image to obtain all sharp omnidirectional images. The proposed method is important for improving catadioptric omnidirectional imaging quality and promoting applications in related fields like omnidirectional video and image processing. |
| format | Article |
| id | doaj-art-2c5da901cabc4b5cbf38f2469cbca77d |
| institution | OA Journals |
| issn | 1687-9384 1687-9392 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Optics |
| spelling | doaj-art-2c5da901cabc4b5cbf38f2469cbca77d2025-08-20T02:38:49ZengWileyInternational Journal of Optics1687-93841687-93922014-01-01201410.1155/2014/732937732937Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional ImagesYongle Li0Jingtao Lou1Department of Military Vehicle, Military Transportation University, Tianjin 300161, ChinaDepartment of Military Vehicle, Military Transportation University, Tianjin 300161, ChinaWe propose a new method of image restoration for catadioptric defocus blur using omnitotal variation (Omni-TV) minimization based on omnigradient. Catadioptric omnidirectional imaging systems usually consist of conventional cameras and curved mirrors for capturing 360° field of view. The problem of catadioptric omnidirectional imaging defocus blur, which is caused by lens aperture and mirror curvature, becomes more severe when high resolution sensors and large apertures are used. In an omnidirectional image, two points near each other may not be close to one another in the 3D scene. Traditional gradient computation cannot be directly applied to omnidirectional image processing. Thus, omnigradient computing method combined with the characteristics of catadioptric omnidirectional imaging is proposed. Following this Omni-TV minimization is used as the constraint for deconvolution regularization, leading to the restoration of defocus blur in an omnidirectional image to obtain all sharp omnidirectional images. The proposed method is important for improving catadioptric omnidirectional imaging quality and promoting applications in related fields like omnidirectional video and image processing.http://dx.doi.org/10.1155/2014/732937 |
| spellingShingle | Yongle Li Jingtao Lou Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional Images International Journal of Optics |
| title | Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional Images |
| title_full | Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional Images |
| title_fullStr | Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional Images |
| title_full_unstemmed | Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional Images |
| title_short | Omnigradient Based Total Variation Minimization for Enhanced Defocus Deblurring of Omnidirectional Images |
| title_sort | omnigradient based total variation minimization for enhanced defocus deblurring of omnidirectional images |
| url | http://dx.doi.org/10.1155/2014/732937 |
| work_keys_str_mv | AT yongleli omnigradientbasedtotalvariationminimizationforenhanceddefocusdeblurringofomnidirectionalimages AT jingtaolou omnigradientbasedtotalvariationminimizationforenhanceddefocusdeblurringofomnidirectionalimages |