舰船电子工程2018，Vol.38Issue(6)：70-72,122,4.DOI:10.3969/j.issn.1672-9730.2018.06.018
海上拍摄图像的清晰化算法研究
Study on Clearness Algorithm of Image Captured at Sea
摘要
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.关键词
图像清晰化/暗通道去雾/图像增强Key words
image clearness/dark channel dehaze/image enhancement分类
信息技术与安全科学引用本文复制引用
刘海波,张慧娟..海上拍摄图像的清晰化算法研究[J].舰船电子工程,2018,38(6):70-72,122,4.基金项目
国家自然科学基金项目(编号:61703408)资助. （编号:61703408）
