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| 基于各向异性规整化的总变分盲复原算法研究 | |
| 引用本文： | 洪汉玉,何成剑,陈以超,易新建,张天序.基于各向异性规整化的总变分盲复原算法研究[J].红外与激光工程,2007,36(1):118-122. |
| 作者姓名： | 洪汉玉 何成剑 陈以超 易新建 张天序 |
| 作者单位： | 1. 华中科技大学,图像识别与人工智能研究所,电子科学与技术博士后流动站,湖北,武汉,430074;武汉工程大学,图像处理与智能控制实验室,湖北,武汉,430074 2. 华中科技大学,图像识别与人工智能研究所,电子科学与技术博士后流动站,湖北,武汉,430074 3. 武汉工程大学,图像处理与智能控制实验室,湖北,武汉,430074 |
| 基金项目： | 中国博士后科学基金 , 国家自然科学基金 |
| 摘 要： | 针对大气湍流退化图像复原问题，提出了一种基于各向异性和非线性规整化的总变分盲复原新算法，该算法主要结合图像和湍流点扩展函数的一些性质采用基于各向异性的空间自适应规整化处理，建立了具有非线性和空间各向异性的规整化函数，使其在恢复目标图像和估计点扩展函数时能自适应地进行梯度平滑。最后，通过交替最小化方案来极小化代价函数和通过定点迭代策略将非线性方程进行线性化处理，快速地估计点扩展函数和恢复图像。在微机上对数字模拟和实际退化图像进行了一系列恢复实验，验证了算法的有效性和稳健性。 |
| 关 键 词： | 湍流退化图像 图像复原 总变分 各向异性规整化 |
| 文章编号： | 1007-2276(2007)01-0118-05 |
| 收稿时间： | 2006/8/18 |
| 修稿时间： | 2006-08-18 |
Blind restoration algorithm of total variation based on anisotropic regularizations |
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| HONG Han-yu,HE Cheng-jian,CHEN Yi-chao,YI Xin-jian,ZHANG Tian-xu.Blind restoration algorithm of total variation based on anisotropic regularizations[J].Infrared and Laser Engineering,2007,36(1):118-122. | |
| Authors: | HONG Han-yu HE Cheng-jian CHEN Yi-chao YI Xin-jian ZHANG Tian-xu |
| Affiliation: | 1.Electric Science and Technology Postdoctoral Station, Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology. Wuhan 430074,China;2.Laboratory for Image Processing and Intelligent Control, Wuhan Institute of Technology, Wuhan 430074,China |
| Abstract: | A blind restoration algorithm of total variation based on anisotropic and nonlinear regularizations is proposed for restoring turbulence-degraded images,in which the anisotropic and adaptive regularizations are adopted according to the properties of turbulence Point Spread Functions(PSFs) and image.The nonlinear and spatial anisotropic regularization functions are suggested to smooth adaptively the gradients in the process of estimating the PSF and recovering the object image.Finally,the cost functions are minimized by alternate minimization scheme,and the nonlinear equations are lineared by fixed-point iteration scheme,then the PSFs can be estimated and the images can be recovered quickly.The robustness and effectiveness of the proposed algorithm are tested by a series of restoration experiments to recover the digital simulation and real turbulence-degraded images. |
| Keywords: | Turbulence-degraded images Image restoration Total variation Anisotropic regularization |
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