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MOTION DEBLURRING USING NEURAL NETWORK ARCHITECTURES

机译:使用神经网络架构的运动解训

摘要

This disclosure relates to improved techniques for performing computer vision functions including motion deblurring functions. The techniques described herein utilize a neural network architecture to perform these functions. The neural network architecture can include a human-aware attention model that is able to distinguish between foreground human objects and background portions of degraded images affected by motion blur. The neural network architecture further includes an encoder-decoder network that separately performs motion deblurring functions on foreground and background portions of degraded images, and reconstructs enhanced images corresponding to the degraded images.
机译:本公开涉及用于执行包括运动去纹函数的计算机视觉功能的改进技术。这里描述的技术利用神经网络架构来执行这些功能。神经网络架构可以包括人感知注意模型,其能够区分由运动模糊影响的劣化图像的前景人物和背景部分。神经网络架构还包括编码器 - 解码器网络,其单独执行在前景和劣化图像的背景部分上执行运动解码功能,并重建与劣化图像对应的增强图像。

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