Image Enhancement and Implementation of CLAHE Algorithm and Bilinear Interpolation
Digital cameras have made it possible for people to capture many different images in their daily lives. Some pictures turn out well, while others don't. Additionally, noise causes variations in image quality. It is possible that these noises are caused by low light levels or other challenges wi...
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| Vydané v: | Cybernetics and systems Ročník ahead-of-print; číslo ahead-of-print; s. 1 - 13 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Taylor & Francis
11.11.2022
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| ISSN: | 0196-9722, 1087-6553 |
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| Abstract | Digital cameras have made it possible for people to capture many different images in their daily lives. Some pictures turn out well, while others don't. Additionally, noise causes variations in image quality. It is possible that these noises are caused by low light levels or other challenges with intensity. The primary goal of this proposal is to discuss ways to enhance image attributes. Using image enhancement methods, the main goal is to reduce image noise and improve image quality. HE (Histogram Equalization) is used to improve the image quality, but the results are underwhelming. Image properties are enhanced using Contrast-Limited Adaptive Histogram Equalization (CLAHE). Bilinear interpolation and the CLAHE algorithm will be used to enhance the images in the initial stages of the proposal, with the main goal being noise reduction. Second, approaches for expanding the contrast of an image have been suggested as a strategy to enhance image quality. The findings demonstrate that the suggested methodology creates great noise-free images by lowering the amount of noise in the images and boosting visual contrast. |
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| AbstractList | Digital cameras have made it possible for people to capture many different images in their daily lives. Some pictures turn out well, while others don't. Additionally, noise causes variations in image quality. It is possible that these noises are caused by low light levels or other challenges with intensity. The primary goal of this proposal is to discuss ways to enhance image attributes. Using image enhancement methods, the main goal is to reduce image noise and improve image quality. HE (Histogram Equalization) is used to improve the image quality, but the results are underwhelming. Image properties are enhanced using Contrast-Limited Adaptive Histogram Equalization (CLAHE). Bilinear interpolation and the CLAHE algorithm will be used to enhance the images in the initial stages of the proposal, with the main goal being noise reduction. Second, approaches for expanding the contrast of an image have been suggested as a strategy to enhance image quality. The findings demonstrate that the suggested methodology creates great noise-free images by lowering the amount of noise in the images and boosting visual contrast. |
| Author | S., Venkatesh C., John De Britto P., Subhashini K., Somasundaram |
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| Cites_doi | 10.1016/j.procs.2020.01.033 10.1109/SOCC.2008.4641492 10.1109/ICCV48922.2021.00250 10.1109/ICACAT.2018.8933665 10.1049/iet-ipr.2015.0150 10.1109/ICTSS.2013.6588092 10.11648/j.ijdsa.20200604.11 |
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| SubjectTerms | Bilinear interpolation CLAHE algorithm contrast stretching noiseless image noisy image |
| Title | Image Enhancement and Implementation of CLAHE Algorithm and Bilinear Interpolation |
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