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An Effective Framework for Enhancement of Hazed and Low-Illuminated Images
2022
International Journal for Research in Applied Science and Engineering Technology
Abstract: Haze removal is important for computer photography and computer vision applications. However, most of the existing methods for removing theha- ziness are designed for daytime images and may not always work well at hazy night images. Unlike image conditions during the sunny day, images captured in winter night conditions can suffer from irregular lighting due to artificial light sources with varying colors and non-uniform illumination, which show low brightness, contrast and color
doi:10.22214/ijraset.2022.40382
fatcat:qmrjejv2ynezrgr6cydowiuc2i