在水下环境中，光的散射和衰减导致水下光学成像质量严重下降，图像对比度低、颜色失真。提出了一种基于暗原色和白平衡相结合的新方法来提高水下光学成像的图像质量，达到使水下光学成像清晰化的目的。根据水下成像特点，建立水下光学成像模型，采用暗原色算法对图像进行去模糊，并依据白平衡理论对去模糊后的图像进行颜色校正，提高水下彩色图像的质量。实验表明，提出的方法能够有效去除由光的散射引起的模糊，增强水下图像的可见度和恢复水下图像的颜色平衡，明显提高图像的清晰度和颜色的保真度。

Low contrast and color change are caused by scattering and attenuation of the light in the underwater environment. The method integrated dark channel prior and white balance for underwater color image enhancement is presented. According to the characteristics of underwater imaging, underwater optical imaging model is established. The optimized and improved dark channel prior algorithm is used for image deblurring, and then color correction on the restored image based on the white balance theory is performed. The quality of underwater color image is improved. The experiments show that the proposed method can effectively remove the blur caused by the scattering of light, enhances the visibility of underwater images and restores color balance of the underwater image. The clarity and color fidelity of underwater color images are improved significantly.