COMPUTATIONALLY EFFICIENT METHOD FOR FILTERING NOISE

Systems and methods for filtering noise from an input signal in a computationally efficient manner are provided. A method includes generating a raw noisy matrix representing the input signal, wherein each element of the raw noisy matrix represents a portion of the input signal, initializing a denoised matrix as equal to the raw noisy matrix, and updating the denoised matrix. Updating the denoised matrix includes iteratively convolving a current version of the denoised matrix with a kernel to generate a convolution matrix, and modifying the denoised matrix based in part on values in the convolution matrix.