Low-illumination image denoising method for wide-area search of nighttime sea surface
In order to suppress complex mixing noise in low-illumination images for wide-area search of nighttime sea surface, a model based on total variation (TV) and split Bregman is proposed in this paper. A fidelity term based on L1 norm and a fidelity term based on L2 norm are designed considering the di...
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| Veröffentlicht in: | Optoelectronics letters 2018-05, Vol.14 (3), p.226-231 |
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| creator | Song, Ming-zhu Qu, Hong-song Zhang, Gui-xiang Tao, Shu-ping Jin, Guang |
| description | In order to suppress complex mixing noise in low-illumination images for wide-area search of nighttime sea surface, a model based on total variation (TV) and split Bregman is proposed in this paper. A fidelity term based on L1 norm and a fidelity term based on L2 norm are designed considering the difference between various noise types, and the regularization mixed first-order TV and second-order TV are designed to balance the influence of details information such as texture and edge for sea surface image. The final detection result is obtained by using the high-frequency component solved from L1 norm and the low-frequency component solved from L2 norm through wavelet transform. The experimental results show that the proposed denoising model has perfect denoising performance for artificially degraded and low-illumination images, and the result of image quality assessment index for the denoising image is superior to that of the contrastive models. |
| doi_str_mv | 10.1007/s11801-018-7268-x |
| format | Article |
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The experimental results show that the proposed denoising model has perfect denoising performance for artificially degraded and low-illumination images, and the result of image quality assessment index for the denoising image is superior to that of the contrastive models.</description><identifier>ISSN: 1673-1905</identifier><identifier>EISSN: 1993-5013</identifier><identifier>DOI: 10.1007/s11801-018-7268-x</identifier><language>eng</language><publisher>Tianjin: Tianjin University of Technology</publisher><subject>Illumination ; Image detection ; Image quality ; Lasers ; Night ; Noise reduction ; Optical Devices ; Optics ; Photonics ; Physics ; Physics and Astronomy ; Quality assessment ; Regularization ; Wavelet transforms</subject><ispartof>Optoelectronics letters, 2018-05, Vol.14 (3), p.226-231</ispartof><rights>Tianjin University of Technology and Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Copyright Springer Science & Business Media 2018</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-c05bd2b0879b1dd54ffd5b1a9d4d366bcf184712f13e495f797124d90af254183</citedby><cites>FETCH-LOGICAL-c316t-c05bd2b0879b1dd54ffd5b1a9d4d366bcf184712f13e495f797124d90af254183</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11801-018-7268-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11801-018-7268-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Song, Ming-zhu</creatorcontrib><creatorcontrib>Qu, Hong-song</creatorcontrib><creatorcontrib>Zhang, Gui-xiang</creatorcontrib><creatorcontrib>Tao, Shu-ping</creatorcontrib><creatorcontrib>Jin, Guang</creatorcontrib><title>Low-illumination image denoising method for wide-area search of nighttime sea surface</title><title>Optoelectronics letters</title><addtitle>Optoelectron. 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The experimental results show that the proposed denoising model has perfect denoising performance for artificially degraded and low-illumination images, and the result of image quality assessment index for the denoising image is superior to that of the contrastive models.</description><subject>Illumination</subject><subject>Image detection</subject><subject>Image quality</subject><subject>Lasers</subject><subject>Night</subject><subject>Noise reduction</subject><subject>Optical Devices</subject><subject>Optics</subject><subject>Photonics</subject><subject>Physics</subject><subject>Physics and Astronomy</subject><subject>Quality assessment</subject><subject>Regularization</subject><subject>Wavelet transforms</subject><issn>1673-1905</issn><issn>1993-5013</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1UFtLwzAUDqLg0P0A3wI-R3OSpm0eZXiDgS_uOaRN0mWszUxaNv-9GRV88rycC9-F8yF0B_QBKK0eE0BNgVCoScXKmpwu0AKk5ERQ4Jd5LitOQFJxjZYp7Wguzqq6kAu0WYcj8fv91PtBjz4M2Pe6s9jYIfjkhw73dtwGg12I-OiNJTpajZPVsd3i4PDgu-04-t6ebzhN0enW3qIrp_fJLn_7Ddq8PH-u3sj64_V99bQmLYdyJC0VjWENrSvZgDGicM6IBrQ0heFl2bQO6qIC5oDbQgpXybwURlLtmCig5jfoftY9xPA12TSqXZjikC0Vo7zMJlyIjIIZ1caQUrROHWL-Mn4roOocoJoDVDlAdQ5QnTKHzZyUsUNn45_y_6QfCaFzgg</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Song, Ming-zhu</creator><creator>Qu, Hong-song</creator><creator>Zhang, Gui-xiang</creator><creator>Tao, Shu-ping</creator><creator>Jin, Guang</creator><general>Tianjin University of Technology</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20180501</creationdate><title>Low-illumination image denoising method for wide-area search of nighttime sea surface</title><author>Song, Ming-zhu ; Qu, Hong-song ; Zhang, Gui-xiang ; Tao, Shu-ping ; Jin, Guang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-c05bd2b0879b1dd54ffd5b1a9d4d366bcf184712f13e495f797124d90af254183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Illumination</topic><topic>Image detection</topic><topic>Image quality</topic><topic>Lasers</topic><topic>Night</topic><topic>Noise reduction</topic><topic>Optical Devices</topic><topic>Optics</topic><topic>Photonics</topic><topic>Physics</topic><topic>Physics and Astronomy</topic><topic>Quality assessment</topic><topic>Regularization</topic><topic>Wavelet transforms</topic><toplevel>online_resources</toplevel><creatorcontrib>Song, Ming-zhu</creatorcontrib><creatorcontrib>Qu, Hong-song</creatorcontrib><creatorcontrib>Zhang, Gui-xiang</creatorcontrib><creatorcontrib>Tao, Shu-ping</creatorcontrib><creatorcontrib>Jin, Guang</creatorcontrib><collection>CrossRef</collection><jtitle>Optoelectronics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Ming-zhu</au><au>Qu, Hong-song</au><au>Zhang, Gui-xiang</au><au>Tao, Shu-ping</au><au>Jin, Guang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Low-illumination image denoising method for wide-area search of nighttime sea surface</atitle><jtitle>Optoelectronics letters</jtitle><stitle>Optoelectron. 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| ispartof | Optoelectronics letters, 2018-05, Vol.14 (3), p.226-231 |
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| source | SpringerLink Journals; Alma/SFX Local Collection |
| subjects | Illumination Image detection Image quality Lasers Night Noise reduction Optical Devices Optics Photonics Physics Physics and Astronomy Quality assessment Regularization Wavelet transforms |
| title | Low-illumination image denoising method for wide-area search of nighttime sea surface |
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