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TECHNIQUES FOR CONVOLUTIONAL NEURAL NETWORK-BASED MULTI-EXPOSURE FUSION OF MULTIPLE IMAGE FRAMES AND FOR DEBLURRING MULTIPLE IMAGE FRAMES
TECHNIQUES FOR CONVOLUTIONAL NEURAL NETWORK-BASED MULTI-EXPOSURE FUSION OF MULTIPLE IMAGE FRAMES AND FOR DEBLURRING MULTIPLE IMAGE FRAMES
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机译：基于卷积神经网络的多图像融合多曝光融合和多图像帧模糊化的技术
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摘要
A method includes obtaining multiple image frames of a scene using at least one camera of an electronic device. The method also includes using a convolutional neural network to generate blending maps associated with the image frames. The blending maps contain or are based on both a measure of motion in the image frames and a measure of how well exposed different portions of the image frames are. The method further includes generating a final image of the scene using at least some of the image frames and at least some of the blending maps. The final image of the scene may be generated by blending the at least some of the image frames using the at least some of the blending maps, and the final image of the scene may include image details that are lost in at least one of the image frames due to over-exposure or under-exposure.
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