Research on Fuzzy Image Reconstruction Method Based on Real-Time Fusion Technology of VR and AR

Abstract

The unknown pixel points are unknown due to the prior information loss, the block feature matching and the boundary structure feature information, and the blurred image restoration is difficult. In the traditional method, the edge contour feature matching multi-scale decomposition method is adopted to perform the fuzzy image restoration, the matching degree of the information template is not high, and the fuzzy image restoration effect is not good. The invention introduces a VR and AR real-time fusion algorithm, and provides a multi-feature distribution fuzzy image restoration algorithm based on VR and AR real-time fusion technology and brightness compensation, The image enhancement process is performed and then matrix expansion is performed on the extracted fine features to maintain the continuity of the image miss area being restored. The image micro-decomposition model of VR and AR real-time fusion algorithm is constructed, and the image information recovery improvement to the edge contour feature points is realized by combining the edge feature lighting degree compensation strategy. The experimental results show that the algorithm has good visual effect, less recovery time and computational overhead, and improves the stability and convergence of the fuzzy image, and the signal-to-noise ratio error after the image restoration is less than 4%, and the performance is superior.