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Super-Resolution Image Optimisation Based on Gradient Iterative Fast Diffraction-Free Spot Algorithm

delete2025-05-20
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OA
AI
陈雨 封面图
陈雨 (Yu Chen)
刘
刘颖 (Ying Liu) *
L
Linhan Li
G
Guangpeng Zhou
B
Boshi Dang
J
Jie Du
J
Junlin Ma
S
Site Zhang
DOI:10.3390/s25103221delete
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摘要

摘要

En 中文
衍射显著恶化激光图像质量,导致严重退化,削弱了自动对焦系统的理论性能参数。本文对图像的非均匀特征进行了全面分析。为提升每幅图像的成像质量,提出了一种基于梯度迭代的去衍射算法。该算法能够快速消除衍射引起的干扰斑点并恢复畸变的激光斑点,从而有效消除衍射导致的自动对焦分辨率和聚焦精度不可避免的下降。此外,提出的内局部化间隔计算模型显著提高了迭代计算过程的收敛性。实验验证表明,在相同条件下,采用该算法处理后的样品反射面层间分辨率提升至原始值的四分之一。这种远超显微镜固有分辨率的显著分辨率提升,表明该算法成功实现了显微镜的超分辨率。
Keyword:
elimination of diffraction spots
microscopy
fast autofocus
computer vision

期刊

Sensors 封面图
Sensors
IF:
3.5
论文数:
7.3W
被引数:
20.9W

机构

C
Chinese Acad Sci
学者数:
1
论文数: 1
被引数: 0
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