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图像去噪的混合正则化LSQR算法
HYBRID REGULARIZATION LSQR ALGORITHM FOR IMAGE DENOISING
【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.
【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.
【关键词】 图像;
恢复;
Krylov;
正则化;
LSQR算法;
【Key words】 image; recovery; Krylov; regularization; LSQR algorithm;
【Key words】 image; recovery; Krylov; regularization; LSQR algorithm;
【基金】 国家自然科学基金(51679186);陕西省自然科学基础研究计划(2019JM-284)
- 【文献出处】 数学杂志 ,Journal of Mathematics , 编辑部邮箱 ,2020年03期
- 【分类号】TP391.41
- 【被引频次】2
- 【下载频次】140