Green Channel Guiding Denoising on Bayer Image
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 tim...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/979081 |
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| author | Xin Tan Shiming Lai Yu Liu Maojun Zhang |
| author_facet | Xin Tan Shiming Lai Yu Liu Maojun Zhang |
| author_sort | Xin Tan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7a099fa6bd034f8d840ac01a72d623fd |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-7a099fa6bd034f8d840ac01a72d623fd2025-02-03T06:44:26ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/979081979081Green Channel Guiding Denoising on Bayer ImageXin Tan0Shiming Lai1Yu Liu2Maojun Zhang3College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, ChinaDenoising 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.http://dx.doi.org/10.1155/2014/979081 |
| spellingShingle | Xin Tan Shiming Lai Yu Liu Maojun Zhang Green Channel Guiding Denoising on Bayer Image The Scientific World Journal |
| title | Green Channel Guiding Denoising on Bayer Image |
| title_full | Green Channel Guiding Denoising on Bayer Image |
| title_fullStr | Green Channel Guiding Denoising on Bayer Image |
| title_full_unstemmed | Green Channel Guiding Denoising on Bayer Image |
| title_short | Green Channel Guiding Denoising on Bayer Image |
| title_sort | green channel guiding denoising on bayer image |
| url | http://dx.doi.org/10.1155/2014/979081 |
| work_keys_str_mv | AT xintan greenchannelguidingdenoisingonbayerimage AT shiminglai greenchannelguidingdenoisingonbayerimage AT yuliu greenchannelguidingdenoisingonbayerimage AT maojunzhang greenchannelguidingdenoisingonbayerimage |