图像生成方法、装置、设备及介质

By acquiring multiple frames of images and sensor data, performing feature extraction and motion field matrix estimation, the problem of poor image reconstruction quality in existing technologies is solved, and high-quality super-resolution image generation is achieved.

CN115423873BActive Publication Date: 2026-07-17VIVO MOBILE COMM CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
VIVO MOBILE COMM CO LTD
Filing Date
2022-09-19
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, image reconstruction methods based on super-resolution algorithms cannot effectively supplement image detail information, resulting in poor image quality and the generated image details not conforming to reality.

Method used

By acquiring multiple frames of raw images, depth maps, and motion sensor data, reference and non-reference images are determined, feature extraction and motion field matrix estimation are performed, and super-resolution reconstruction is carried out by combining motion sensor data and depth map feature maps to generate high-quality super-resolution images.

Benefits of technology

It improves the quality and efficiency of image reconstruction, ensuring that the generated image details match the real situation, and is suitable for various electronic devices.

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Abstract

本申请公开了一种图像生成方法、装置、设备及介质,属于人工智能技术领域,图像生成方法包括:获取采集数据,采集数据包括多帧原始图像、原始图像对应的深度图以及原始图像对应的运动传感器数据;在原始图像中,确定参考图像和非参考图像;对参考图像和参考图像对应的深度图进行特征提取,得到参考特征图,对非参考图像和非参考图像对应的深度图进行特征提取,得到非参考征图;根据参考图像对应的运动传感器数据、非参考图像对应的运动传感器数据、参考特征图和非参考特征图,确定非参考图像的目标运动场矩阵;根据参考特征图、非参考特征图和非参考图像的目标运动场矩阵,重建得到多帧原始图像对应的超分辨率重建图像。
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