Phase-error compensation through multiframe blind deconvolution

Iterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery

Algorithms for image recovery with super-resolution from sequences of short-exposure images are presented in this paper. Both deconvolution from wavefront sensing (DWFS) and blind deconvolution are explored. A multiframe algorithm is presented for DWFS which is based on maximum a posteriori (MAP) formulation. A multiframe blind deconvolution algorithm is presented based on a maximum likelihood ...

Multiframe blind deconvolution coupled with frame registration and resolution enhancement

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 8.

Solar image restoration

Image restoration is used to repair solar images degraded by the turbulence in Earth’s atmosphere. Restoration algorithms are based on models of the optical system that produce the images – from the solar source of radiation, through Earth’s atmosphere and telescope/instrument optics, to the detectors recording the data. In this review, these model components are discussed in the context of two...

Reconstruction of long horizontal-path images under anisoplanatic conditions using multiframe blind deconvolution

An Efficient Computational Approach for Multiframe Pupil Phase Blind Deconvolution

Obtaining high resolution images of space objects from ground based telescopes involves using a combination of sophisticated hardware and computational post-processing techniques. An important, and often highly effective, computational post processing tool is multiframe blind deconvolution (MFBD). Mathematically, MFBD is modeled as a nonlinear inverse problem that can be solved using a flexible...