Iterative blind deconvolution method and its applications

Ayers, G. R.; Dainty, J. C.

doi:10.1364/ol.13.000547

Cited by 640 publications

(349 citation statements)

References 10 publications

Supporting

Mentioning

348

Contrasting

Order By: Relevance

“…The constraint is applied before the reconstruction algorithm used to update the PSF, so that it can be used together with others constraints (an example is the constraint on the Fourier support of the PSF given in Desiderà et al 2006) and/or within different kind of blind deconvolution algorithms (Jefferies & Christou 1993;Ayers 1988;Holmes 1992;Tsumuraya et al 1994;Fisch et al 1995;Biggs & Andrews 1998).…”

Section: Discussionmentioning

confidence: 99%

Strehl-constrained iterative blind deconvolution for post-adaptive-optics data

Desiderà¹,

Carbillet²

2009

A&A

View full text Add to dashboard Cite

Aims. We aim to improve blind deconvolution applied to post-adaptive-optics (AO) data by taking into account one of their basic characteristics, resulting from the necessarily partial AO correction: the Strehl ratio. Methods. We apply a Strehl constraint in the framework of iterative blind deconvolution (IBD) of post-AO near-infrared images simulated in a detailed end-to-end manner and considering a case that is as realistic as possible. Results. The results obtained clearly show the advantage of using such a constraint, from the point of view of both performance and stability, especially for poorly AO-corrected data. The proposed algorithm has been implemented in the freely-distributed and CAOS-based Software Package AIRY.

show abstract

Section: Discussionmentioning

confidence: 99%

Strehl-constrained iterative blind deconvolution for post-adaptive-optics data

Desiderà¹,

Carbillet²

2009

A&A

View full text Add to dashboard Cite

show abstract

“…The estimate of the object's image can be updated by an iterative method similar to that proposed by Ayers & Dainty (1988) for blind deconvolution, in which the estimates of the object and the PSF are updated alternately through the inverse filter and the nonnegative constraint. We apply a nonnegative constraint, represented by a transformation Nnc½· , to the object's image as estimated above, that is,…”

Section: Data Processing and Resultsmentioning

confidence: 99%

Image Restoration of Io by Shift-and-Add Method and Deconvolution

Kuwamura

Tsumuraya²,

Miura

et al. 2008

PUBL ASTRON SOC PAC

View full text Add to dashboard Cite

ABSTRACT. Atmospheric turbulence degrades the image resolution of a ground-based telescope, and a speckle imaging technique can restore the image with high resolution up to the diffraction limit. We have obtained the speckle data of Io (a Jupiter's satellite) using the 2 m telescope in Nishi-Harima Astronomical Observatory. The speckle data are reduced by the shift-and-add method followed by a background-subtraction procedure. The reduced image is then deconvolved by the similarly reduced image of the unresolved binary star HR6168. The comparison with the close-up image taken by the Voyager 2 spacecraft reveals that the restored image shows well-resolved structural features on the surface of Io.

show abstract

“…The ROI, which is previously established by the user, may be the whole scene or some portion of it. Much work has been published in the field of PSF estimation and blind deconvolution techniques, aimed at tackling the defocus estimation problem [19,20,21,22,23]. The problem faced here is in fact one of parametric PSF estimation with a single parameter.…”

Section: Defocus Estimationmentioning

confidence: 99%

Design and implementation of a scene-dependent dynamically selfadaptable wavefront coding imaging system

Carles

Ferran

Carnicer

et al. 2012

Computer Physics Communications

View full text Add to dashboard Cite

A computational imaging system based on wavefront coding is presented. Wavefront coding provides an extension of the depth-of-field at the expense of a slight reduction of image quality. This trade-off results from the amount of coding used. By using spatial light modulators, a flexible coding is achieved which permits it to be increased or decreased as needed. In this paper a computational method is proposed for evaluating the output of a wavefront coding imaging system equipped with a spatial light modulator, with the aim of thus making it possible to implement the most suitable coding strength for a given scene. This is achieved in an unsupervised manner, thus the whole system acts as a dynamically selfadaptable imaging system. The program presented here controls the spatial light modulator and the camera, and also processes the images in a synchronised way in order to implement the dynamic system in real time. A prototype of the system was implemented in the laboratory and illustrative examples of the performance are reported in this paper. The program implements an enhanced wavefront coding imaging system able to adapt the degree of coding to the requirements of a specific scene. The program controls the acquisition by a camera, the display of a spatial light modulator and the image processing operations synchronously. The spatial light modulator is used to implement the phase mask with flexibility given the trade-off between depth-of-field extension and image quality achieved. The action of the program is to evaluate the depth-of-field requirements of the specific scene and subsequently control the codifing established by the spatial light modulator, in real time.

show abstract

Iterative blind deconvolution method and its applications

Abstract: A simple iterative technique has been developed for blind deconvolution of two convolved functions. The method is described, and a number of results obtained from a computational implementation are presented. Some further possible applications are indicated.

Cited by 640 publications

References 10 publications

Strehl-constrained iterative blind deconvolution for post-adaptive-optics data

Strehl-constrained iterative blind deconvolution for post-adaptive-optics data

Image Restoration of Io by Shift-and-Add Method and Deconvolution

Design and implementation of a scene-dependent dynamically selfadaptable wavefront coding imaging system

Contact Info

Product

Resources

About