In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function used...

In mathematics, deconvolution is the inverse of convolution. Both operations are used in signal processing and image processing. For example, it may be...

In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the frequency...

The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been...

process; e.g., blind deconvolution Blind experiment (single-blind or double-blind), a procedure to reduce bias in scientific experiments Blind hole, a mechanical...

word blind in the name. Blind equalization is essentially blind deconvolution applied to digital communications. Nonetheless, the emphasis in blind equalization...

T. J. (1995). "An Information-Maximization Approach to Blind Separation and Blind Deconvolution", Neural Computation, 7, 1129-1159 James V. Stone (2004)...

(September 2004). "Rapid supersampling of multiframe sequences by use of blind deconvolution". Optics Letters. 29 (17): 1986–1988. Bibcode:2004OptL...29.1986C...

it is often possible to recover at least some information using blind deconvolution techniques. da Silva, Joaquin (2014-03-18). "Obscenity and Article...

Dereverberation of audio (speech or music) is a corresponding function to blind deconvolution of images, although the techniques used are usually very different...

Sejnowski, T. J. An Information-Maximization Approach to Blind Separation and Blind Deconvolution, Neural Computation, 7, 1129–1159, 1995 Coggan, J. S. Bartol...

reconstructed image. The ptychographical data set can be posed as a blind deconvolution problem. It has sufficient diversity to solve for both the moving...

Philip J.; Fiddy, Michael A.; Millane, Rick P. (eds.). "Multi-frame blind deconvolution with linear equality constraints". SPIE Proceedings. Image Reconstruction...

and the sharp image S can be recovered. Denoising Super-resolution Blind deconvolution Modulation transfer function Ahi, Kiarash (26 May 2016). Anwar, Mehdi...

Freeman, MIT Martinello, Manuel; Favaro, Paolo (2011). "Single Image Blind Deconvolution with Higher-Order Texture Statistics" (PDF). Video Processing and...

which adapts to local changes in contrast - Contrast Enhancement Blind deconvolution: image de-blurring algorithm when point spread function is unknown...

quantification of physiological processes with dynamic PET using blind deconvolution. IEEE. OCLC 697321031.{{cite book}}: CS1 maint: multiple names: authors...

Bivariate von Mises distribution Black–Scholes Bland–Altman plot Blind deconvolution Blind experiment Block design Blocking (statistics) Blumenthal's zero–one...

parameters, measured with beads, or estimated and iteratively refined (Blind deconvolution). PSFs can be adjusted locally to account for variations in refractive...

be known as Blind FROG due to its mathematical equivalence to blind deconvolution. Unfortunately, retrieval of two pulses from the Blind FROG trace proved...

Sensing of Sea Ice”, Wiley-Interscience, 1994. S. Haykin (editor), “Blind Deconvolution”, Prentice-Hall, 1994. S. Haykin and A. Steinhardt, “Radar Detection...

recordings on a computer, and processing them using a technique called "blind deconvolution". These were released by RCA Records as "Caruso – A Legendary Performer"...

0} or π {\displaystyle \pi } ). Deconvolution Deblurring Inverse problem Iterative method Denoising Blind deconvolution Estimation theory Multidimensional...

completed a Ph.D. through Paris-Sud University with the dissertation Blind deconvolution supervised by Didier Dacunha-Castelle. After serving as an assistant...

Access Colin Cherry Deconvolution Factorial codes Infomax principle Segmentation (image processing) Speech segmentation Kevin Hughes “Blind Source Separation...

(November 1995). "An information-maximization approach to blind separation and blind deconvolution". Neural Comput. 7 (6): 1129–59. CiteSeerX 10.1.1.36.6605...

doi:10.1080/01621459.1994.10476469. Liu, J.S.; Chen, R. (1995). "Blind deconvolution via sequential imputations" (PDF). Journal of the American Statistical...

Stockham, T.G. Jr.; Cannon, T.M.; Ingebretsen, R.B. (April 1975). "Blind deconvolution through Digital Signal Processing". Proceedings of the IEEE. 63 (4):...

gradient algorithms for Independent Component Analysis (ICA) and blind deconvolution. He proposed together with his co-workers several efficient AI models...

Stockham Stockham, T.G., Jr., T.M. Cannon, and R.B. Ingebretsen, Blind deconvolution through Digital Signal Processing, Proceedings of the IEEE, April...