Aiming at the problems such as low reconstruction efficiency,fuzzy texture details,and difficult convergence of reconstruction network face image super-resolution reconstruction algorithms,a new super-resolution recon...Aiming at the problems such as low reconstruction efficiency,fuzzy texture details,and difficult convergence of reconstruction network face image super-resolution reconstruction algorithms,a new super-resolution reconstruction algorithm with residual concern was proposed.Firstly,to solve the influence of redundant and invalid information about the face image super-resolution reconstruction network,an attention mechanism was introduced into the feature extraction module of the network,which improved the feature utilization rate of the overall network.Secondly,to alleviate the problem of gradient disappearance,the adaptive residual was introduced into the network to make the network model easier to converge during training,and features were supplemented according to the needs during training.The experimental results showed that the proposed algorithm had better reconstruction performance,more facial details,and clearer texture in the reconstructed face image than the comparison algorithm.In objective evaluation,the proposed algorithm's peak signalto-noise ratio and structural similarity were also better than other algorithms.展开更多
The mood is intended to send poetry lyric and a form of expressive, while the Chinese have a long attention of the ＂mood＂ to convey tradition and from the east, we can see the nation＇ s awareness of thinking, orien...The mood is intended to send poetry lyric and a form of expressive, while the Chinese have a long attention of the ＂mood＂ to convey tradition and from the east, we can see the nation＇ s awareness of thinking, oriental poet emphasis of things＇ teaser, expression of mood. Therefore, secondary school teachers in the resolution of the ＂Chinese New Standard＂ in Chinese classical poetry pay attention to poetry with the main objective unity, and the traditional interpretation of metaphor Fu poetry ＂mood.＂展开更多
基金supported by National Natural Science Foundation of China(No.62063014)。
文摘Aiming at the problems such as low reconstruction efficiency,fuzzy texture details,and difficult convergence of reconstruction network face image super-resolution reconstruction algorithms,a new super-resolution reconstruction algorithm with residual concern was proposed.Firstly,to solve the influence of redundant and invalid information about the face image super-resolution reconstruction network,an attention mechanism was introduced into the feature extraction module of the network,which improved the feature utilization rate of the overall network.Secondly,to alleviate the problem of gradient disappearance,the adaptive residual was introduced into the network to make the network model easier to converge during training,and features were supplemented according to the needs during training.The experimental results showed that the proposed algorithm had better reconstruction performance,more facial details,and clearer texture in the reconstructed face image than the comparison algorithm.In objective evaluation,the proposed algorithm's peak signalto-noise ratio and structural similarity were also better than other algorithms.
文摘The mood is intended to send poetry lyric and a form of expressive, while the Chinese have a long attention of the ＂mood＂ to convey tradition and from the east, we can see the nation＇ s awareness of thinking, oriental poet emphasis of things＇ teaser, expression of mood. Therefore, secondary school teachers in the resolution of the ＂Chinese New Standard＂ in Chinese classical poetry pay attention to poetry with the main objective unity, and the traditional interpretation of metaphor Fu poetry ＂mood.＂
