Blind deconvolution of fluorescence micrographs by maximum-likelihood estimation
Blind deconvolution of fluorescence micrographs by maximum-likelihood estimation is a scholarly work, published in 1995 in ''Applied Optics''. The main subjects of the publication include optics, image, fluorescence microscope, data set, photoacoustic imaging, set, deconvolution, artificial intelligence, similarity, Deblurring, point spread function, image restoration, biomedical spectroscopy, blind deconvolution, computer science, digital image processing, computer vision, iterative reconstruction, and algorithm. The authors report some recent algorithmic refinements and the resulting simulated and real image reconstructions of fluorescence micrographs by using a blind-deconvolution algorithm based on maximum likelihood estimation.