Methods for image denoising and deblurring

摘要

Systems and methods related to pre-processing images and estimating PSFs for image deblurring in a noise-robust manner. The pre-processing may include iteratively denoising a reference image, iteratively denoising a scene image containing at least one straight edge within the scene image while preserving the at least one straight edge. The pre-processing may include smoothing, subtracting and dividing to provide a pre-processed image. The PSF-estimation process may include generating, with the at least one processor, a first noise value from portions of an edge intensity profile, generating a second noise value from a difference between the edge intensity profile and an integral of the noise-regularized inversion of the integration operator operating on the edge intensity profile and determining a value of a local curvature regularization parameter resulting in the first noise value and the second noise value being within a tolerance range.