Study on Clearness Algorithm of Image Captured at Sea
LIU Haibo
ZHANG Huijuan
Abstract：The image captured at sea is vulnerable to the influence of fog and sea light and shadow,resulting in poor image contrast and poor readability,which has a negative impact on subsequent image analysis. A clearness algorithm is proposed in this paper,which improves the estimation method of atmospheric transmittance in dark channel dehaze method,and uses guided filter?ing to optimize transmittance,and then solves atmospheric scattering physical model to achieve fog removal. Aiming at the low brightness and contrast after dehazing,it is not conducive to subsequent image analysis. After the fog removal,gamma is corrected to enhance contrast and improve readability. The algorithm is applied to typical images. Compared with classical algorithm,the algo?rithm is effective,and achieves the function of fog removal. It effectively enhances the target contrast,and the image is natural and without distortion,which lays a good foundation for further image analysis.
Keywords：image clearnessdark channel dehazeimage enhancement
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 70-72,122 )