| Autor: |
null Brahmaji Rao K. N, null Nagesh Kumar K, null Indra Neel M. V. S. S, null Krishna Vamsi K. C. D, null Premchand Reddy M, null Sai Kiran P |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
International Journal of Advanced Research in Science, Communication and Technology. :511-517 |
| ISSN: |
2581-9429 |
| Popis: |
Image enhancement of low light images is an important research area in computer vision and image processing. In recent years, deep learning has emerged as a powerful tool for enhancing low light images, with convolutional neural networks (CNNs) being the most used architecture. In this study, we propose a deep learning approach for enhancing low light images using a modified CNN. Our approach involves training the network on a large dataset of low light images and their corresponding enhanced images and using the trained model to enhance new low light images. We also propose a new loss function that encourages the network to enhance details and reduce noise in the images. Our experiments show that our approach outperforms existing state-of-the-art methods in terms of both objective metrics and visual quality, making it a promising technique for real-world low light image enhancement applications |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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