计算机工程2017，Vol.43Issue(5)：224-228,5.DOI:10.3969/j.issn.1000-3428.2017.05.036
基于B样条迭代配准的水下扭曲图像恢复算法
Recovery Algorithm of Underwater Distorted Images Based on B-spline Iteration Registration
摘要
Abstract
For the problem of image distortion and blurring caused by the ripples in the water,a new iterative registration algorithm adopting similarity measure and optimization method to recover the real image from some stretchedout ones is proposed.Firstly,distorted sequence images are chosen with the correlation coefficient method and the real images are got from the grid changes.Grids are obtained from the iterative registration of the sequence images and their mean value ones on the basis of B-spline free transformation model.Local-normalized Mutual Information (LRMI) is used as similarity measure,and the Differential Evolution-Quasi-Newton optimization(DE-LBFGS) algorithm is adopted for optimization.Noises are removed by sparse de-noising.Experimental results show that the proposed algorithm shortens the registration time and improves the registration precision and visual effect of the image.关键词
成像质量/水下目标/空间变换/配准算法/相似测度Key words
imaging quality/underwater target/space transformation/registration algorithm/similarity measure分类
信息技术与安全科学引用本文复制引用
马春波,赵兰兰,敖珺,王克明..基于B样条迭代配准的水下扭曲图像恢复算法[J].计算机工程,2017,43(5):224-228,5.基金项目
国家自然科学基金(61167006) （61167006）
“认知无线电与信息处理”省部共建教育部重点实验室主任基金(CRKL150106). （CRKL150106）
