Multi-Frame Super-Resolution Phase Retrieval Based on Consensus Equalization

Super-resolution phase retrieval refers to the reconstruction of high-resolution images from amplitude information, which plays a crucial role in the field of image processing. This paper proposes a multi-frame super-resolution phase retrieval algorithm based on consensus equalization, which balances the data fidelity term of the super-resolution phase retrieval with the TV denoising term. The TV denoising algorithm is combined with the traditional projection algorithm. This paper also tests the proposed algorithm in simulation data and evaluates the algorithm for the case at different Gaussian noise levels and different frames, where it is proved that the consensus equalization outperforms other algorithms with strong image reconstruction capability.