一种基于混合空间交互的陶瓷封装基板图像超分辨率方法

By constructing a hybrid spatial interaction network, the problems of feature loss and detail blurring in ceramic packaging substrate image super-resolution were solved, thereby improving image resolution and clarity and enhancing the accuracy and reliability of defect detection.

CN121746185BActive Publication Date: 2026-07-17NORTHEASTERN UNIV CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
NORTHEASTERN UNIV CHINA
Filing Date
2026-02-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing super-resolution technologies suffer from the loss of key microscopic features and blurring of detailed information when processing images of ceramic packaging substrates, failing to meet the needs of highly specialized industrial inspection.

Method used

A hybrid spatial interaction-based approach is adopted to construct a hybrid spatial interaction network, which includes a shallow feature extraction subnetwork, a main feature extraction subnetwork, and an upsampling reconstruction subnetwork. Feature extraction and reconstruction are enhanced through a hybrid multi-channel interaction module and a bidirectional supervision submodule, ensuring the preservation of image details and improving resolution.

Benefits of technology

It effectively enhances the overall resolution and clarity of images, captures fine details and a wider range of structures in images, prevents high-frequency information degradation, and improves the accuracy and reliability of defect detection in ceramic packaging substrates.

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Abstract

本发明提供了一种基于混合空间交互的陶瓷封装基板图像超分辨率方法,涉及图像处理技术领域。本发明构建混合空间交互网络,用于对预处理后的低分辨率图像进行超分辨率重建,包括浅层特征提取子网络、主特征提取子网络和上采样重建子网络;浅层特征提取子网络用于从预处理后的低分辨率图像中提取初始浅层特征;主特征提取子网络用于基于初始浅层特征提取主要特征;上采样重建子网络用于对主要特征进行上采样,得到超分辨率图像。本发明利用混合层次方法提取不同尺度的特征,增强了信息在不同层和通道之间的相关性。使用多层特征提取来捕获图像中的精细细节和更广泛的结构,提高图像的整体分辨率和清晰度,从而更好地分析电子器件的复杂结构。
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