Weighted Generalization of Dark Channel Prior with Adaptive Color Correction for Defogging. Ueki, Y. & Ikehara, M. In 2020 28th European Signal Processing Conference (EUSIPCO), pages 685-689, Aug, 2020.
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Paper doi abstract bibtex
Paper doi abstract bibtex Images and video captured in water or fog suffer from low contrast and color distortion due to light scattering and absorption. An image formation model for hazy images is commonly used to restore both underwater images and hazy images because of the similarity between the two types of images. However, red light is attenuated faster than blue and green light in underwater, and underwater images are distorted by changes of color tone. Therefore, most current methods are specialized for either hazy images or underwater images. In this paper, we propose a novel defogging method which is efficient for both hazy images and underwater images. Our method is composed of adaptive color correction and weighted generalization of dark channel prior (WGDCP). Experimental results show that our algorithm can recover both underwater images and hazy images.
@InProceedings{9287672,
author = {Y. Ueki and M. Ikehara},
booktitle = {2020 28th European Signal Processing Conference (EUSIPCO)},
title = {Weighted Generalization of Dark Channel Prior with Adaptive Color Correction for Defogging},
year = {2020},
pages = {685-689},
abstract = {Images and video captured in water or fog suffer from low contrast and color distortion due to light scattering and absorption. An image formation model for hazy images is commonly used to restore both underwater images and hazy images because of the similarity between the two types of images. However, red light is attenuated faster than blue and green light in underwater, and underwater images are distorted by changes of color tone. Therefore, most current methods are specialized for either hazy images or underwater images. In this paper, we propose a novel defogging method which is efficient for both hazy images and underwater images. Our method is composed of adaptive color correction and weighted generalization of dark channel prior (WGDCP). Experimental results show that our algorithm can recover both underwater images and hazy images.},
keywords = {Image color analysis;Signal processing algorithms;Light scattering;Europe;Estimation;Distortion;Image restoration;Image processing;image enhancement;image restoration;underwater image;dehazing;defogging},
doi = {10.23919/Eusipco47968.2020.9287672},
issn = {2076-1465},
month = {Aug},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2020/pdfs/0000685.pdf},
}Downloads: 0
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