Green Channel Guiding Denoising on Bayer Image
Joint Authors
Liu, Yu
Zhang, Maojun
Tan, Xin
Lai, Shiming
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Denoising is an indispensable function for digital cameras.
In respect that noise is diffused during the demosaicking, the denoising ought to work directly on bayer data.
The difficulty of denoising on bayer image is the interlaced mosaic pattern of red, green, and blue.
Guided filter is a novel time efficient explicit filter kernel which can incorporate additional information from the guidance image, but it is still not applied for bayer image.
In this work, we observe that the green channel of bayer mode is higher in both sampling rate and Signal-to-Noise Ratio (SNR) than the red and blue ones.
Therefore the green channel can be used to guide denoising.
This kind of guidance integrates the different color channels together.
Experiments on both actual and simulated bayer images indicate that green channel acts well as the guidance signal, and the proposed method is competitive with other popular filter kernel denoising methods.
American Psychological Association (APA)
Tan, Xin& Lai, Shiming& Liu, Yu& Zhang, Maojun. 2014. Green Channel Guiding Denoising on Bayer Image. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051843
Modern Language Association (MLA)
Tan, Xin…[et al.]. Green Channel Guiding Denoising on Bayer Image. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051843
American Medical Association (AMA)
Tan, Xin& Lai, Shiming& Liu, Yu& Zhang, Maojun. Green Channel Guiding Denoising on Bayer Image. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051843
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051843