Low-pass filtering based polarimetric dehazing method for dense haze removal
AffiliationJames C. Wyant College of Optical Sciences, University of Arizona
MetadataShow full item record
PublisherThe Optical Society
CitationLiang, J., Ren, L., & Liang, R. (2021). Low-pass filtering based polarimetric dehazing method for dense haze removal. Optics Express, 29(18), 28178–28189.
RightsCopyright © 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at firstname.lastname@example.org.
AbstractPolarimetric dehazing method is very promising in enhancing the quality of images captured in the scattering media. However, it is found that the dehazing results calculated by hazy images are very sensitive to the noise, which may cause the method unstable or even invalid. To overcome this drawback and enhance the capability and stability of the polarimetric dehazing method, digital image processing algorithms or bias parameters need to be added into the method, however, they will make the algorithm complex and time consuming. In this paper, using low pass filter to suppress the noise of the hazy images, a novel polarimetric dehazing method is proposed to enhance the visibility of hazy images, especially for dense haze removal. Experimental results demonstrate that this method is totally automatic and very effective in dense haze processing. This method may have great potential usage in many applications, such as optical surveillance, underwater imaging, and bio-tissue imaging, etc. © 2021 Optical Society of America.
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