一种基于明暗通道先验的投影融合补偿方法及系统

By employing a projection fusion compensation method based on the prior knowledge of the light and dark channels, and utilizing an embedded module and a cross-attention module for reflected light density and intensity information, the problem of poor compensation accuracy caused by mutual reflection of light in multiple projection devices is solved, thus achieving efficient and accurate improvement in projection imaging quality.

CN117939092BActive Publication Date: 2026-07-17SICHUAN UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SICHUAN UNIV
Filing Date
2024-01-10
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing multi-projection devices struggle to achieve high-precision compensation results in projection compensation, exhibiting poor accuracy and long processing times, especially with limited compensation effects for high-resolution images.

Method used

A projection fusion compensation method based on prior knowledge of light and dark channels is adopted. The prior knowledge of light and dark channels of light mutual reflection images is extracted by designing a compensation network. Feature interaction and reconstruction are carried out by using a reflected light density position embedding module, a reflected light intensity cross attention module and a cross-dimensional attention fusion module. A dataset is constructed and the compensation network is trained to approximate the target compensation function.

Benefits of technology

It achieves high-precision color and brightness compensation, reduces compensation time, improves image detail retention, and obtains more realistic projection imaging quality.

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Abstract

本发明涉及图像投影补偿技术领域,并具体公开了一种基于明暗通道先验的投影融合补偿方法及系统,本发明通过提出一种正弦融合函数,弥补了多投影仪融合过程中的像素损失,提高了叠加融合的视觉过渡效果,并通过深度学习模型隐式地补偿投影仪输入图像的方式实现投影成像质量的提高,通过计算光线互反射图像的明通道先验和暗通道先验来获得反射光的强度和密度相关信息,并采用相应的嵌入模块将反射光密度与强度信息嵌入到补偿网络中,以提高补偿网络对全局变化的光线互反射水平的感知能力。本发明的补偿结果不仅拥有更逼真的色泽和亮度,还保留了更完整的图像内容细节。
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