Noise-aware image deconvolution with multidirectional filters
Noise-aware image deconvolution with multidirectional filters is a scholarly work, published in 2013 in ''Applied Optics''. The main subjects of the publication include image, noise reduction, super-resolution imaging, autofocus, deconvolution, artificial intelligence, Radon transform, image restoration, blind deconvolution, computer science, noise, Wiener deconvolution, digital image processing, computer vision, image quality, Wiener filter, filter, Inverse filter, and algorithm. The authors found that by applying a directional low-pass filter to the blurred image, authors can reduce the noise level while preserving the blur information in the orthogonal direction to the filter.