File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1137/18M1230451
- Scopus: eid_2-s2.0-85070675151
- WOS: WOS:000473117100011
Supplementary
- Citations:
- Appears in Collections:
Article: Color image restoration by saturation-value total variation
Title | Color image restoration by saturation-value total variation |
---|---|
Authors | |
Keywords | Regularization Total variation Image restoration Color space Color images Quaternion |
Issue Date | 2019 |
Citation | SIAM Journal on Imaging Sciences, 2019, v. 12, n. 2, p. 972-1000 How to Cite? |
Abstract | © 2019 Society for Industrial and Applied Mathematics. Color image restoration is one of the important tasks in color image processing. Total variation regularizaton was proposed and employed for the recovery of edges in a grayscale image. In the literature, there are several methods for extension of total variation regularization for color images, for example, based on color channel coupling and tensor regularization. The main contribution of this paper is to propose and develop a new saturation-value (SV) color total variation regularization in the hue, saturation, amd value color space instead of in the original red, green, and blue color space. The development of this SV total variation can be studied via the representation of color images in the quaternion framework for color edge detection. We will investigate the properties of the SV total variation regularization and the resulting optimization model for color image restoration. Numerical examples are presented to demonstrate that the performance of the new SV total variation is better than that of existing color image total variation methods in terms of some criteria such as PSNR, SSIM, and S-CIELAB error. |
Persistent Identifier | http://hdl.handle.net/10722/276653 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jia, Zhigang | - |
dc.contributor.author | Ng, Michael K. | - |
dc.contributor.author | Wang, Wei | - |
dc.date.accessioned | 2019-09-18T08:34:15Z | - |
dc.date.available | 2019-09-18T08:34:15Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | SIAM Journal on Imaging Sciences, 2019, v. 12, n. 2, p. 972-1000 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276653 | - |
dc.description.abstract | © 2019 Society for Industrial and Applied Mathematics. Color image restoration is one of the important tasks in color image processing. Total variation regularizaton was proposed and employed for the recovery of edges in a grayscale image. In the literature, there are several methods for extension of total variation regularization for color images, for example, based on color channel coupling and tensor regularization. The main contribution of this paper is to propose and develop a new saturation-value (SV) color total variation regularization in the hue, saturation, amd value color space instead of in the original red, green, and blue color space. The development of this SV total variation can be studied via the representation of color images in the quaternion framework for color edge detection. We will investigate the properties of the SV total variation regularization and the resulting optimization model for color image restoration. Numerical examples are presented to demonstrate that the performance of the new SV total variation is better than that of existing color image total variation methods in terms of some criteria such as PSNR, SSIM, and S-CIELAB error. | - |
dc.language | eng | - |
dc.relation.ispartof | SIAM Journal on Imaging Sciences | - |
dc.subject | Regularization | - |
dc.subject | Total variation | - |
dc.subject | Image restoration | - |
dc.subject | Color space | - |
dc.subject | Color images | - |
dc.subject | Quaternion | - |
dc.title | Color image restoration by saturation-value total variation | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1137/18M1230451 | - |
dc.identifier.scopus | eid_2-s2.0-85070675151 | - |
dc.identifier.volume | 12 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 972 | - |
dc.identifier.epage | 1000 | - |
dc.identifier.eissn | 1936-4954 | - |
dc.identifier.isi | WOS:000473117100011 | - |
dc.identifier.issnl | 1936-4954 | - |