Paper

Single Aerial Image De-Hazing and Its Parallel Computing


Authors:
Zhaohua Liu; Yuxia Yang; Jingyu Yang
Abstract
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.
Keywords
Dark Channel Prior; Guided Filter; Wallis Filter; GPU; Integral Image
StartPage
33
EndPage
40
Doi
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