Aiming at the problem that the dark channel prior dehazing algorithm is not applicable to the sky region and restored images are prone to color errors when processing martime images,a dark channel dehazing algorithm for maritime images combined with sky region segmentation and multi-scale transmittance fusion is proposed.The images are pre-processed by grayscale and bilateral fitering.The sky region in the pre-processed images is initially segmtioned based on the Otsu algorithm threshold optimization,the fine segmentation of sky region is performed based on gradient domain guided filtering,and the shadow in the fine-segmented images is removed;the estimation method of atmospheric light value is improved based on the sky region segmentation,the initial transmittance image is obtained by multi-scale transmittance fusion,and the gradient domain guided filtering is used to refine the transmittance image;the dehazing process of the maritime images is completed through the atmospheric scattering model.The results show that,compared with the original dark channel dehazing algorithm,the information entropy,structural similarity,and peak signal-to-noise ratio of the images which are dehazed by the proposed algorithm are improved by 3.5％,9.89％,and 27.42％,respectively.The algorithm can avoid the halo and color errors resulting from the original algorithm effectively,has a better visual effect,and can restore the real ship image of the sea scene.
维普
万方数据