Homology Identification Algorithm for Nighttime Low Illumination Images Based on Transferred Convolutional Neural Network
The secondary editing and tampering of the image greatly reduce the credibility of the image.Affected by the night light,the image classification process is unstable,and the accuracy of image source forensics is poor.Therefore,the homology identification algorithm of nighttime low illumination images based on the migration convolution neural network is studied.Based on the migration convolution neural network,the nighttime low illumination images are classified,and the neuron corre-lation between different characteristic images is calculated.It enhances and reduces the dimension of the nighttime low illumina-tion images,and provides the identification basis for the identification of image homology.By dividing the image blocks,the homology identification of nighttime low illumination images is realized.After the experimental demonstration and analysis,this algorithm is applied,the content of nighttime low illumination images is more complete,the details are displayed more,the accuracy of image homology identification and the purity of categories are higher,and it is effective and practical.
万方数据
维普
