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Content Provider | IET Digital Library |
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Author | Kumar, Wahengbam Kanan Nongmeikapam, Kishorjit Singh, Aheibam Dinamani |
Abstract | In this study, a method for fusing of visible (or standard RGB) with near-infrared (NIR) image pair for enhancing a hazy image is proposed. Better image enhancement in terms of contrast, sharpness, increased perception is realised by combining the components from both the spectra. While there are a number of applications that use NIR images, very few combine RGB and NIR information of the same scene taken from two separate imaging devices. Although NIR images are greyscaled in nature, they have intrinsic properties desirable in both colour and visible imagery of a number of scenes. Instances are increased the contrast between sky and clouds; shadowed and non-shadowed regions; and increased optical depth. These features are in most cases missed by a standard RGB camera and therefore, a fusion of such RGB–NIR image pairs is highly beneficial. The scheme for fusing these image pairs is realised by using a novel, fuzzy clustering algorithm along with wavelet transform so that not only contrast and sharpness are enhanced, but also the chromaticity of the original RGB image is retained. The proposed technique is well demonstrated for various outdoor scenes, and better results are obtained when compared against some of the state-of-the-art techniques proposed recently. |
Starting Page | 2467 |
Ending Page | 2479 |
Page Count | 13 |
ISSN | 17519659 |
Volume Number | 13 |
e-ISSN | 17519667 |
Issue Number | Issue 13, Nov (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/13/13 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5812 |
Journal | IET Image Processing |
Publisher Date | 2019-08-01 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Camera Computer Vision And Image Processing Technique Fuzzy Clustering Algorithm Fuzzy System Hazy Image Enhancement Image Colour Analysis Image Enhancement Image Fusion Image Sonsor Infrared Imaging Integral Transforms Multispectral Visible–near-infrared Image Pair Fusion Near-infrared Image Fusion NIR Image Fusion Optical, Image And Video Signal Processing Pattern Clustering RGB–NIR Image Pairs Scene Perception Enhancement Standard RGB Camera Visible Imagery Wavelet Transform |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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