Research on the Texture Detail Enhancement Method of Animation Images Based on Deep Learning
In order to improve the clarity and user experience of the image,the deep learning algo-rithm is introduced to design the texture detail enhancement method of the animated image.The sliding window is used to calculate the entropy,and the entropy is normalized into the weight.The feature in-formation is abstracted step by step by using multi-layer-nonlinear transformation of convolutional neural network(CNN).Using image segmentation technology,the image is divided into foreground and background.According to the calculated background scattering degree,the image texture details are en-hanced.The experimental results show that the design method can ensure that the actual frame number of the constructed animation image and scene can reach the design frame number,that is,to ensure the fluency of the scene and the clarity of the animation.
deep learningweight itemenhancement methodanimated images
万方数据
维普
