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Content Provider | IET Digital Library |
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Author | Niu, Jinxing Jiang, Yajie Fu, Yayun |
Abstract | 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. |
Starting Page | 3635 |
Ending Page | 3638 |
Page Count | 4 |
ISSN | 17519659 |
Volume Number | 14 |
e-ISSN | 17519667 |
Issue Number | Issue 15, Dec (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/14/15 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1588 |
Journal | IET Image Processing |
Publisher Date | 2020-04-29 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Colour Recovery Computer Vision And Image Processing Technique Histogram Equalisation Image Blurring Image Colour Analysis Image Detector Image Enhancement Image Processing Effect Image Sharpening Algorithm Lighting Low Light Intensity Multiscale Retinex Theory Optical, Image And Video Signal Processing Scene Image Visual Effect Weak Illumination Environment |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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