| 摘要: |
| 本文研究了图像去模糊去噪问题.利用正则化技术结合Krylov子空间方法，提出了混合正则化LSQR算法.实验结果表明该算法有效改善了问题的不适定性，获得了逼真度较高的复原图像. |
| 关键词: 图像 恢复 Krylov 正则化 LSQR算法 |
| DOI： |
| 分类号:O175.5 |
| 基金项目:国家自然科学基金（51679186）；陕西省自然科学基础研究计划（2019JM-284）. |
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| HYBRID REGULARIZATION LSQR ALGORITHM FOR IMAGE DENOISING |
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MIN Tao, HAN Xuan
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Department of Applied Mathematics, School of Science, Xi'an University of Technology, Xi'an 710054, China
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| Abstract: |
| This paper is devoted to study image denoising and deblurring problems. By using regularization technology and Krylov subspace method, a hybrid regularization LSQR algorithm is proposed. The experimental results show that the algorithm can effectively improve the ill-posedness of the problem and obtain the restored image with high fidelity. |
| Key words: image recovery Krylov regularization LSQR algorithm |
