Leveraging subspace information for low-rank matrix reconstruction

•Leveraging subspace information can enhance the reconstruction accuracy of low-rank matrix.•The designed affine map outperforms the randomly generated affine map in terms of reconstruction accuracy.•Adapting the representation of low-rank matrices to the noise level can achieve minimum mean square error.•The proposed two-step low-rank matrix reconstruction algorithm achieves a robust performance with low complexity.