Overview of NeuralBD deconvolution pipeline. The neural network maps coordinate points to pixel intensity values to estimate the real object intensity distribution. The convolution is calculated between the estimated real object and the predicted k PSFs, which are parameterized as learnable values on a grid. The optimization is performed between the predicted image burst and the original image burst from the telescope.