Abstract:  To effectively solve the problem of uneven brightness in 3D virtual images, a dynamic feature enhancement algorithm for 3D virtual images is proposed. Median filtering algorithm and wavelet soft thresholding algorithm are combined effectively for denoising of 3D virtual images. By setting new structural elements based on visual selection characteristics, connected particle attributes are constructed, and using hierarchical statistical models to perform color conversion and structural element matching on the image, corresponding mapping subgraphs are obtained, and dynamic features are extracted. The 3D virtual image is inputted into an improved U-net++network, dense connections are used at different layers to enhance the correlation of image features at different levels, and all dynamic features are fused for detail reconstruction to achieve dynamic feature enhancement of the 3D virtual image. According to the experimental results, the proposed algorithm can achieve satisfactory dynamic feature enhancement effects in 3D virtual images. 

Key words: 3D virtual images, dynamic characteristics, enhance, color conversion, dense connection