图像处理超参数优化方法、系统、设备及存储介质

By training image processing models for both the debugging and comparison devices and optimizing hyperparameter combinations, the problem of perspective differences between the debugging and comparison devices was solved, thus improving the effectiveness and efficiency of image processing.

CN116347251BActive Publication Date: 2026-07-17SUZHOU KEYUAN SOFTWARE TECH DEV +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SUZHOU KEYUAN SOFTWARE TECH DEV
Filing Date
2023-03-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, the difference in perspective between debugging and comparison devices leads to poor hyperparameter optimization results in image processing, and traditional methods are time-consuming and difficult to guarantee global or local optimality of parameters.

Method used

By acquiring training image data from debugging and comparison devices respectively, first and second image processing models are trained. These models are then used to simulate the image processing algorithms of the debugging and comparison devices, optimize the hyperparameter combination, and use the uformer model and EnhanceNet model for feature extraction and image correction to reduce the effects of viewpoint differences and lens distortion.

Benefits of technology

This technology simulates the image processing style of a comparative device when optimizing hyperparameter combinations, improving the hyperparameter optimization effect, reducing the impact of perspective differences and lens distortion, and enhancing the quality and efficiency of image processing.

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Abstract

本申请提供了一种图像处理超参数优化方法、系统、设备及存储介质,方法包括:从调试设备获取多组第一训练图像数据;基于第一训练图像数据训练第一图像处理模型;从对比设备获取多组第二训练图像数据;基于第二训练图像数据训练第二图像处理模型;从调试设备获取第三拍摄图像,并基于第二图像处理模型得到第三标签图像;将第三拍摄图像和初始化超参数组合作为第一图像处理模型的输入,第三标签图像作为第一图像处理模型的标签数据,优化初始化超参数组合。通过采用本申请,解决了调试设备与对比设备的视角差异问题,进一步提高图像处理超参数优化的效果。
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