Retracted: Research on image sharpening algorithm in weak illumination environment
Owing to low light intensity, the image detector is underexposure, the colour and contrast of scene images will be changed, so it is of great significance to study the image sharpening in a weak illumination environment. In this study, the causes of image blurring are firstly analysed by histogram e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-12-01
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| Series: | IET Image Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-ipr.2019.1588 |
| _version_ | 1811340843484708864 |
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| author | Jinxing Niu Yajie Jiang Yayun Fu |
| author_facet | Jinxing Niu Yajie Jiang Yayun Fu |
| author_sort | Jinxing Niu |
| collection | DOAJ |
| description | Owing to low light intensity, the image detector is underexposure, the colour and contrast of scene images will be changed, so it is of great significance to study the image sharpening in a weak illumination environment. In this study, the causes of image blurring are firstly analysed by histogram equalisation (HE) and retinex theory. A method combined HE and multi‐scale retinex theory with colour recovery is proposed. The experimental simulation results show that the image processing effect of this algorithm is the most obvious, the local details and dark areas are clearly visible, the colour is rich, and the visual effect is the best, which has a certain practical application value. |
| first_indexed | 2024-04-13T18:47:57Z |
| format | Article |
| id | doaj.art-2add1c13558943c186306a0a67d9dccf |
| institution | Directory Open Access Journal |
| issn | 1751-9659 1751-9667 |
| language | English |
| last_indexed | 2024-04-13T18:47:57Z |
| publishDate | 2020-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Image Processing |
| spelling | doaj.art-2add1c13558943c186306a0a67d9dccf2022-12-22T02:34:31ZengWileyIET Image Processing1751-96591751-96672020-12-0114153635363810.1049/iet-ipr.2019.1588Retracted: Research on image sharpening algorithm in weak illumination environmentJinxing Niu0Yajie Jiang1Yayun Fu2Department of Mechanical EngineeringNorth China University of Water Resources and Electric PowerZhengzhouPeople's Republic of ChinaDepartment of Mechanical EngineeringNorth China University of Water Resources and Electric PowerZhengzhouPeople's Republic of ChinaDepartment of Mechanical EngineeringNorth China University of Water Resources and Electric PowerZhengzhouPeople's Republic of ChinaOwing to low light intensity, the image detector is underexposure, the colour and contrast of scene images will be changed, so it is of great significance to study the image sharpening in a weak illumination environment. In this study, the causes of image blurring are firstly analysed by histogram equalisation (HE) and retinex theory. A method combined HE and multi‐scale retinex theory with colour recovery is proposed. The experimental simulation results show that the image processing effect of this algorithm is the most obvious, the local details and dark areas are clearly visible, the colour is rich, and the visual effect is the best, which has a certain practical application value.https://doi.org/10.1049/iet-ipr.2019.1588weak illumination environmentlow light intensityimage detectorscene imagesimage blurringhistogram equalisation |
| spellingShingle | Jinxing Niu Yajie Jiang Yayun Fu Retracted: Research on image sharpening algorithm in weak illumination environment IET Image Processing weak illumination environment low light intensity image detector scene images image blurring histogram equalisation |
| title | Retracted: Research on image sharpening algorithm in weak illumination environment |
| title_full | Retracted: Research on image sharpening algorithm in weak illumination environment |
| title_fullStr | Retracted: Research on image sharpening algorithm in weak illumination environment |
| title_full_unstemmed | Retracted: Research on image sharpening algorithm in weak illumination environment |
| title_short | Retracted: Research on image sharpening algorithm in weak illumination environment |
| title_sort | retracted research on image sharpening algorithm in weak illumination environment |
| topic | weak illumination environment low light intensity image detector scene images image blurring histogram equalisation |
| url | https://doi.org/10.1049/iet-ipr.2019.1588 |
| work_keys_str_mv | AT jinxingniu retractedresearchonimagesharpeningalgorithminweakilluminationenvironment AT yajiejiang retractedresearchonimagesharpeningalgorithminweakilluminationenvironment AT yayunfu retractedresearchonimagesharpeningalgorithminweakilluminationenvironment |