水下光学成像清晰化方法研究  

Study on the Underwater Optical image Clarity Enhancing

作　　者：李庆武[1,2] 束代群 周妍[1] 盛惠兴[1] 霍冠英[1,3] 

机构地区：[1]河海大学物联网工程学院,江苏常州213022 [2]常州市传感网与环境感知重点实验室,江苏常州213022 [3]南通河海大学海洋与近海工程研究院,江苏南通226019

出　　处：《光学学报》2014年第13期105-110,共6页Acta Optica Sinica

基　　金：国家自然科学基金（60972101,41306089）、江苏省科技支撑计划（BE2012096）、南通市科技计划（BK2012025）

摘　　要：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.

关 键 词：图像处理 水下彩色图像 暗原色 白平衡 图像清晰化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]