To improve the defuzzification effect of images and the clarity of 3D reconstruction, a multiviewpoint image defuzzification and 3D reconstruction algorithm based on virtual reality (VR) is proposed. After constructing an end-to-end defuzzification network model, in a VR environment, the Visual C++ visualization software development platform and VTK 3D image processing software are used to analyze camera configuration standards and target image orientation. The mapping method is used to complete information acquisition. Finally, detail matching is achieved based on the subinterval directional gradient histogram to achieve image reconstruction. This method not only effectively improves the clarity of reconstructed images but also achieves good defuzzification effects, with high timeliness in defuzzification and 3D reconstruction.