Three-Dimensional Reconstruction Method of High-Resolution Image Based on Independently Adjustable Sparse Coefficient

Image 3D reconstruction is widely used in reverse engineering, artificial intelligence and other fields. In order to better guarantee the quality of 3D image reconstruction, this research proposes a 3D reconstruction method for high-resolution images based on independently adjustable sparsity coefficients. A single image is used to reconstruct a three-dimensional model, and then combined with the sparse coefficients, the local features of the single image three-dimensional reconstruction are collected and analyzed, and local denoising is performed. On this basis, the image information is corrected and reconstructed. By comparing the experimental results, it can be known that this method has high practicability and can effectively meet the design requirements.