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Adorf, H.M.,
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Statistical-information-based performance criteria for Richardson-Lucy
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DOI Link
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Restoration by deconvolution.
See also Bayesian-Based Iterative Method of Image Restoration.
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Faisal, M.,
Lanterman, A.D.,
Snyder, D.L.[Donald L.], and
White, R.L.,
Implementation of a Modified Richardson-Lucy Method for Image Restoration
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See also Bayesian-Based Iterative Method of Image Restoration.
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Reeves, S.J.,
Generalized Cross-Validation as a Stopping Rule for the
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IJIST(6), No. 4, Winter 1995, pp. 387-391.
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Tai, Y.W.[Yu-Wing],
Tan, P.[Ping],
Brown, M.S.[Michael S.],
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path,
PAMI(33), No. 8, August 2011, pp. 1603-1618.
IEEE DOI
1107
Ego-motion blur for distant scene. Image modeled as integration of
the scene under sequence of projective transformations.
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Lee, N.Y.[Nam-Yong],
Block-iterative Richardson-Lucy methods for image deblurring,
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Dulek, B.,
Ozdemir, O.,
Varshney, P.K.,
Su, W.,
Modulation Discovery Over Arbitrary Additive Noise Channels Based on
the Richardson-Lucy Algorithm,
SPLetters(21), No. 6, June 2014, pp. 756-760.
IEEE DOI
1404
Modulation classification
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Wang, H.B.[Hong-Bin],
Miller, P.C.,
Scaled Heavy-Ball Acceleration of the Richardson-Lucy Algorithm for
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IEEE DOI
1402
deconvolution
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Zhang, Y.W.[Yan-Wei],
Lang, S.[Song],
Wang, H.W.[Hong-Wei],
Liao, J.[Jiasheng],
Gong, Y.[Yan],
Super-resolution algorithm based on Richardson-Lucy deconvolution for
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JOSA-A(36), No. 2, February 2019, pp. 173-178.
DOI Link
1912
Image processing, Live cell imaging, Reconstruction algorithms,
Spatial frequency, Structured illumination microscopy,
Three dimensional image processing
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Sheng, B.,
Li, P.,
Fang, X.,
Tan, P.,
Wu, E.,
Depth-Aware Motion Deblurring Using Loopy Belief Propagation,
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IEEE DOI
2004
Transmission line matrix methods, Cameras, Kernel,
Image restoration, Richardson-Lucy
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Zeng, Y.M.[Yi-Ming],
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Soltanalian, M.[Mojtaba],
One-Bit Compressive Sensing: Can We Go Deep and Blind?,
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IEEE DOI
2208
Sensors, Signal processing algorithms, Decoding, Sparse matrices,
Neural networks, Compressed sensing, Training,
one-bit sampling
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Agarwal, C.,
Khobahi, S.,
Bose, A.,
Soltanalian, M.,
Schonfeld, D.,
DEEP-URL: A Model-Aware Approach to Blind Deconvolution Based on Deep
Unfolded Richardson-Lucy Network,
ICIP20(3299-3303)
IEEE DOI
2011
Kernel, Deconvolution, Signal processing algorithms, Measurement,
Neural networks, Iterative methods, Machine learning,
non-convex optimization
BibRef
Yang, H.L.[Hao-Liang],
Chiao, Y.H.[Yen-Hao],
Huang, P.H.[Po-Hao],
Lai, S.H.[Shang-Hong],
Blind Image Deblurring with Modified Richardson-Lucy Deconvolution for
Ringing Artifact Suppression,
PSIVT11(II: 240-251).
Springer DOI
1111
See also Bayesian-Based Iterative Method of Image Restoration.
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Deblurring, Gaussian Blur, Other Blur Kernels .