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Erschienen in:
2023 | OriginalPaper | Buchkapitel
Underwater Image Enhancement Using Color Balance and Image Fusion via Gamma Correction
verfasst von : K. Giridhar Chaitanya, B. Chandana, S. Jyoshna Devi, P. Gowthami, B. Varshith Reddy
Erschienen in: ICDSMLA 2021
Verlag: Springer Nature Singapore
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Abstract
The images that are captured underwater contain various artifacts and also degraded due to the inherent properties of the location parameters such as dispersion and refraction. In general, most of the fusion algorithms in image processing applications are mostly based on fusion of two images, but in this work, it is only one image approach, where the same image is converted into varied forms of two images based on color balance and white balance procedures. The proposed method indicates that images are enhanced by means of global contrast and also preserving the edges of the images with little modifications. Basic filtering operations are also utilized in this work to enhance the images in order to retain the integrity of the images to identify the underwater objects vividly.