Single Image Haze Removal Algorithm

doi:10.3969/j.issn.1006-2475.2015.05.009

Abstract

Abstract: At present, most of the haze removal algorithms ignore the color distortion problem, especially in areas with high brightness. This paper proposes a single image haze removal algorithm using the bilateral filtering to ensure the image detail and color information at the same time. First of all, the Butterworth low-pass filter is used to directly estimate the background air light in order to avoid the errors caused by different sizes of images and different blocks of images. Then, the bilateral filter is used to estimate the atmospheric light curtains instead of the soft matting process in He’s algorithm to obtain the optimum transmission diagram and improve the computational efficiency. Finally, the brightness gain function is used to restore color in the HSV space. Compared with several classical algorithms, simulation experimental results verify the color calibration and the effectiveness of the proposed algorithm.

Key words: Butterworth low-pass filter, bilateral filter, HSV, brightness gain function, color calibration

CLC Number:

TP391

CHEN Wei, FAN Xin-nan, LI Min, WANG Geng-ren. Single Image Haze Removal Algorithm[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2015.05.009.

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