Paper
Single Aerial Image De-Hazing and Its Parallel Computing
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Authors:
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Zhaohua Liu; Yuxia Yang; Jingyu Yang
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Abstract
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Aiming at the degraded image quality in bad weather, a novel haze removal method for single image based on dark channel prior is firstly introduced. Then these disadvantages of initialized method are analyzed and improved, a tolerance mechanism is introduced to deal with the dark channel prior ineffective zones, a fast edge-preserving interpolating algorithm of atmosphere transmission based on guided image filter is proposed to overcome time-consuming problem of soft matting algorithm, a Wallis filter is used to improve the intensity of result image. And to improve the de-hazing efficiency more, a GPU-CPU cooperating scheme is designed and corresponding fine granularity parallel computing of de-hazing is realized based on integral image and box filter through GPU. At last, three aerial images are processed using GeForce 9500 GT card to validate the proposed method.
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Keywords
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Dark Channel Prior; Guided Filter; Wallis Filter; GPU; Integral Image
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StartPage
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33
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EndPage
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40
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Doi
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