**SELECTED
PUBLICATIONS **

**Books: **

** L P Yaroslavsky,
Advanced Digital Imaging Laboratory Using MATLAB® ,
IOP Publishing Ltd, 2014. **

**L.
Yaroslavsky, Theoretical Foundations of Digital Imaging Using Matlab, CRC
Press, 2012**

**L.
Yaroslavsky, Fast Transforms in Digital Signal Processing: Theory, Algorithms,
Applications, v. 2, Bentham E-book Series "Digital Signal Processing in
Experimental Research**

ISSN: 1879-4432, 2009, Editors L. Yaroslavsky and J. Astola, ISSN:
1879-4432, eISBN: 978-1-60805-230-1, 2011

**L. Yaroslavsky,
Introduction to Digital Holography, v. 1, Bentham E-book Series "Digital
Signal Processing in Experimental Research**

ISSN: 1879-4432, 2009, Editors L. Yaroslavsky and J. Astola,
**eISBN****: 978-1-60805-079-6, 2009**

**L.
Yaroslavsky, Digital Holography and Digital Image Processing, Kluwer Academic
Publishers, Boston, 2004**

**L. Yaroslavsky, M. Eden,
Fundamentals of Digital Optics, Birkhauser, Boston,
1996**

**L.
Yaroslavsky, Digital Signal Processing in Optics and Holography: Introduction
to Digital Optics, Radio I Svyaz’, Moscow, 1987**

**(In Russian: Öèôðîâàÿ îáðàáîòêà
ñèãíàëîâ â îïòèêå è ãîëîãðàôèè: Ââåäåíèå â öèôðîâóþ îïòèêó, Ì. Ðàäèî è ñâÿçü, 1987)**

**L.
Yaroslavsky, Digital Picture Processing, An Introduction. Springer Verlag, Berlin****, Heidelberg****, 1985**

**L.
P. Yaroslavskii, N. S. Merzlyakov,
Methods of Digital Holography, Consultants Bureau, New York, 1980**

**Chapters in books:
**

**L.
Yaroslavsky, Linking Analog and Digital Image Processing, In: Optical and
Digital Image Processing (978-3-527-40956-e3), Ch. 8, Christobal,
Schelkens, Thiepont, Eds.,
Wiley-VCH Verlag, 2011, pp. 397-418**

**Leonid
P. Yaroslavsky, Image recovery from sparse samples, discrete sampling theorem
and sharply bounded band limited discrete signals. In Peter Hawkes, editors:
Advances in Imaging and Electron Physics, Vol 167, Waltham: Academic Press,
2011, pp. 295-332.**

**L.
Yaroslavsky, Discrete Sampling Theorem, Sinc-lets and Other Peculiar Properties
of Sampled Signals, in “Festschrift in Honor of Jaakko Astola
on the Occasion of His 60th Birthday, I. Tabus, K. Egiazarian & M. Gabbouj (Eds), Tampere International Center for Signal Processing,
Tampere, 2009 (ISBN 978-952-15-2142-3, ISSN 1456-2774)**

**L.
Yaroslavsky, Fast Transforms for Digital Holography,
"New Directions in Holography and Speckles", American Scientific
Publishers, Editors H. John Caulfield andChandra S. Vikram, 2008, pp. 57-73**

**L.
Yaroslavsky, Digital Computational Imaging, Ch. 11, in: Advances in Information
Optics and Photonics, **

Ari T. Friberg and Rene Daundliker,
Eds., SPIE Press, Bellingham, Wasington, USA, 2008,
pp. 207-227

**L.
Yaroslavsky, Discrete Transforms, Fast Algorithms and Point Spread Functions of
Numerical Reconstruction of Digitally Recorded Holograms, in: Advances in
Signal Transforms: Theory and Applications, J. Astola,
L. Yaroslavsky, Eds., EURASIP Book Series on Signal Processing and
Communications, Hindawi, 2007 **

**L.
Yaroslavsky, Space Variant and Adaptive Transform Domain Image and Video
Restoration Methods, In: Advances in Signal Transforms: Theory and
Applications, J. Astola, L. Yaroslavsky, Eds. , EURASIP Book Series on Signal Processing and
Communications, Hindawi, 2007 **

**L.
Yaroslavsky, Fast Discrete Sinc-Interpolation: A Gold Standard for Image
Resampling, In: Advances in Signal Transforms: Theory and Applications, J. Astola, L. Yaroslavsky, Eds. ,
EURASIP Book Series on Signal Processing and Communications, Hindawi, 2007 **

**L.
Yaroslavsky, Optical Transforms in Digital Holography, The Art and the Science
of Holography, A tribute to Emmett Leith and Yuri Denisyuk, SPIE Press,
Bellingham, Wa, 2004, pp. 45-60**

**L.
Yaroslavsky, From Random Numbers to Stochastic Growth Models and Texture
Images, In: Pattern Formation, M. Gromov and A. Carbone, Eds., World Scientific
Publishing Co, Singapore, 1999, pp. 42—64 **

**L.
Yaroslavsky, Image Restoration, enhancement and target location with local
adaptive filters, in: International Trends in Optics and Photonics, ICO-IV, ed.
by T.Asakura, Springer Verlag,
1999, pp. 111-127 **

**L.
Yaroslavsky, Nonlinear Optical Correlators with Improved Discrimination
Capability for Object Location and Pattern Recognition, In : Optical Patern Recognition, Ed. F.S.T. Yu and S. Jutamulia, Cambridge University Press, 1998, 141-170 **

**L.P.
Yaroslavsky, The Theory of Optimal Methods for Localization of Objects in
Pictures, In: Progress in Optics, Ed. E. Wolf, v.XXXII,
Elsevier Science Publishers, Amsterdam, 1993 **

**Journal
papers: **

** L. P. Yaroslavsky; "Can compressed
sensing beat the Nyquist sampling rate?," Opt.
Eng., 54(7), 079701 (2015). doi:10.1117/1.OE.54.7.079701. **

**L.
Yaroslavsky, Evolutionary pattern
formation in non-linear imaging systems with feedback: “Self-controlled
growth”, “Coherent shrinkage” and “Eternal life in a bounded space”, Invited
Paper on the occasion of IYOL-2015, Asian Journal of Physics Vol. 24, No 3
(2015) 351-362**

**L.
Yaroslavsky, Non-linear
Fourier optics in computers: a challenge for hybrid digital-optical image
processors, Asian Journal of Physics Vol. 23, No 3 (2014) 343-351**

**L P
Yaroslavsky, Compression, Restoration, Resampling, “Compressive Sensing”: Fast
Transforms in Digital Imaging, Journal of Optics Volume 17 Number 7,
2015 (on line doi:10.1088/2040-8978/17/7/073001).**

** L.Yaroslavsky, Ch. Goerzen, S. Umansky, H. J. Caulfield, Optics-less smart sensors and a
possible mechanism of cutaneous vision in nature, Central European Journal of
Physics, 2009, DOI: 10.2478/s11534-009-0132-7**

**Leonid
P. Yaroslavsky, Gil Shabat, Benjamin G. Salomon, Ianir A. Ideses, and Barak Fishbain, Nonuniform sampling,
image recovery from sparse data and the discrete sampling theorem, J. Opt. Soc.
Am. A/Vol. 26, No. 3/March 2009**

**L. Yaroslavsky,
Computer-Generated Holograms and 3-D Visual Communication, Journal of
Holography and Speckle, Vol.5, 1–6, 2008**

**B. Fishbain. L. Yaroslavsky, I. Ideses,
Leonid P. Yaroslavsky, "Spatial, Temporal, and Interchannel
Image Data Fusion for Long-Distance Terrestrial Observation Systems,"
Advances in Optical Technologies, vol. 2008, Article ID 546808, 18 pages, 2008.**

**L. Yaroslavsky, Stochastic
Nonlinear Dynamics Pattern Formation and Growth Models, Nonlinear Biomedical
Physics, 2007, 1:4 **

**L. Yaroslavsky, B. Fishbain, G. Shabat, I. Ideses, Super-resolution in turbulent videos: making profit
from damage, Optics Letters, Vol.32, No. 21 Nov. 1, 2007**

**A. Asher, W. A. Segal, S. A. Baccus, L. P.Yaroslavsky, and D. Palanker, Image-processing software for a
high-resolution optoelectronic retinal prosthesis, IEEE Transactions on
Biomedical Engineering,Vol. 54, Issue 6, Part 1, 2007**

**B. Fishbain,
L. P. Yaroslavsky, I. A. Ideses, Real Time
Stabilization of Long Range Observation System Turbulent Video, Journal of Real
Time Image Processing, Volume 2, Number 1 / October, 2007, p. 11-22**

**Ianir**** Ideses,
Leonid P. Yaroslavsky, Barak Fishbain,
Real-Time 2D to 3D Video Conversion, Journal of Real Time Image Processing,
Volume 2, Number 1, October, 2007 , pp. 3-9**

**L. Yaroslavsky, A. Moreno, J.
Campos, Frequency responses and resolving power
of numerical integration of sampled data, Optics Express, v. 13, No. 8, 18 Apr.
2005, p. 2892-2905**

**I. Ideses,
L. Yaroslavsky, Three Methods that Improve Visual Quality of Color Anaglyphs, Journ. Pure &Appl. Optics, 7, (2005), p. 755-762**

**L.P. Yaroslavsky, J. Campos,
M. Espinola, I. Ideses,
Redundancy of stereoscopic images: Experimental evaluation, Optics Express, v.
13, No. 26, Dec. 22, 2005, p. 10895**

**L. Yaroslavsky, Boundary
effect free and adaptive discrete sinc-interpolation, Applied Optics, 10 July
2003, v. 42, No. 20, p.4166-4175**

**L. Yaroslavsky, Nonlinear
Filters for Image Processing in Neuromorphic Parallel Networks, Optical Memory
and Neural Networks, v. 12, No. 1, 2003**

**L. Yaroslavsky, E. Marom, Nonlinearity Optimization in Nonlinear Joint
Transform Correlators , Applied Optics , vol. 36, No. 20, 10 July, 1997,
pp. 4816-4822 (See also in: Selected Papers on Optical Pattern Recognition
Using Joint Transform Correlation, M. S. Alam, ed.,
Milestone Series, v. MS 157, SPIE Optical Engineering Press, 1999**

**L.P. Yaroslavsky, Optical
correlators with (-k)th law
nonlinearity: optimal and suboptimal solutions, Applied Optics, v. 34, No. 20
(10 July, 1995), pp. 3924-3932**

**L.P.Yaroslavsky****, H.J. Caulfield,
Deconvolution of Multiple Images of the same object, Applied Optics ,
Vol. 33, No 11, 10 April 1994, p. 2157-2167.**

**I.N. Zavrazhina,
L.P. Yaroslavsky, Computer-assisted Technologies
in Lung Cancer Diagnosis and Staging, Cancer letters , vol. 77 (2,3), March 15,
1994, p. 190 - 200.**

**Yaroslavsky, M. Eden,
Correlational Accumulation as a Method for Signal Restoration, Signal
Processing, 39 (1994), pp. 89-106**

**L.P. Yaroslavsky, Is the
Phase-Only Filter and its Modifications Optimal in Terms of the Discrimination
Capability in Pattern Recognition?, Applied Optics, v.
31, No.11, 10 apr. 1992, p. 1677-1679. (See also in:
Selected Papers on Optical Pattern Recognition, Fr. T.S. Yu, Sh. Yin, Eds, SPIE Optical Engineering Press, Vol. MS 156, 1999)**

**V. Kim,
L.P. Yaroslavsky, Rank Algorithms for Picture Processing, Computer Vision,
Graphics and Image Processing, v. 35, 1986, p.
234-258.**

**L.P. Yaroslavsky, The
Possibility of Parallel and Recursive Representation of Digital Filters, Radioengineering, No.3,
1984, p. 87-91. Telecommunications and Radio Engineering (English
translation of Elektrosvyaz, and Radiotekhnika),
v 38-39, n 5, May, 1984, p 71-75**

**L.P.
Yaroslavsky, Shifted Discrete Fourier Transforms, In: Digital Signal
Processing, Ed. by V. Cappellini, and A. G. Constantinides, Academic Press, London, 1980, p. 69- 74****.**

**L.P. Yaroslavskii,
Shifted Discrete Fourier Transforms, Problems of Information Transmission (A
translation of Problemy Peredachi
Informatsii), v. 15, No 4, 1979, p. 324–327)**

**L.P.
Yaroslavsky, A Unified Representation of Orthogonal Matrices Used in Digital
Signal Processing, Radioengineering and Electronics,
v.34, No.1, 1979, p. 66-71.**** Radio Engineering and Electronic Physics (English
translation of Radiotekhnika i
Elektronika), v 24, n 1, Jan, 1979, p 54-57**

**L.P. Yaroslavsky,
"Truncated" Algorithms of the Fast Fourier and Walsh Transforms, Radioengineering, v. 32, No. 7, 1977, p. 15-20. Telecommunications
and Radio Engineering (English translation of Elektrosvyaz
and Radiotekhnika), v 31-32, n 7, Jul, 1977, p
80-84 **

**V.N. Karnaukhov,
N.S. Merzlyakov, L.P. Yaroslavsky, Three dimensional
holographic movie synthesized with a digital computer, Sov.Tech.
Phys. Lett., v.2, iss.4, 26 Febr. 1976,
p.169-172**__.__

**D.S. Lebedev,
L.P. Yaroslavsky, M.K. Naraeva, A.S. Selivanov, I.S. Fainberg,
Synthesis of Color Images of the Surface of Mars from Photos, obtained
from the Space Station "Mars-5", Doklady of
the USSR Academy of Sciences, ser. Mathematics and Physics, v. 225, No. 6,
1975, p. 1288-1292. **

**M.A. Kronrod,
N.S. Merzlyakov, L.P. Yaroslavsky, Computer Synthesis
of Transparency Holograms, Soviet Physics-Technical Physics,
v. 13, 1972, p. 414 - 418.**

**M.A. Kronrod,
N.S. Merzlyakov, L.P. Yaroslavsky, Reconstruction of
a Hologram with a Computer, Soviet Physics-Technical Physics, v. 17, no. 2,
1972, p. 419 - 420.**

Conf__erences papers__

**Leonid
Bilevich, Leonid Yaroslavsky, New boundary effect
free algorithm for fast and accurate image arbitrary scaling and rotation,
Proc. SPIE 9139, Real-Time Image and Video Processing 2014, 913905 (May 15,
2014)**

** L. Yaroslavsky, The amazing evolutionary dynamics of
non-linear optical systems with feedback, Proc. SPIE 8833, Tribute to
H. John Caulfield, 88330K (September 30, 2013); doi:10.1117/12.2023089**

** ****L.
Yaroslavsky, Digital Computational Imaging, in: Proceedings of the Russian
Popov Society of Radio Engineering, Electronics and Communication, Iss. X-1, Proceedings of the 10 International Conference
Digital Signal Processing and its Applications, March
26-28, 2008, Moscow, Russia, p. 215-218 **

**L.
Yaroslavsky, “How Computer-Generated Holograms Can Contribute To 3-D Imaging?”,
Digital Holography and Three-Dimensional Imaging 2007 Conference, Vancouver,
BC, Canada, June 18-20, 2007 (invited paper). **

**L.P.
Yaroslavsky, K.O. Egiazarian, J.T. Astola, Transform domain image restoration methods: review,
comparison and interpretation, Photonics West,
Conference 4304, Nonlinear Processing and Pattern Analysis, San Jose, 22-23
January, 2001, SPIE Proceedings Series, v. 4304 **

**L.P. Yaroslavsky, Local adaptive image restoration and
enhancement with the use of DFT and DCT in a running window (invited paper),
in: Proceedings, Wavelet Applications in Signal and Image Processing IV, 6-9
August 1996, Denver, Colorado, SPIE Proc. Series, v. 2825, pp. 1-13. (See
also in: Selected SPIE Papers on CD-ROM series, Vol 8: Mathematical Imaging and
Vision, December 1999, edited by Dr. Gerhard Ritter**

**L.
Yaroslavsky, Time-frequency domain signal filtering: a next step forward, In:
Proceedings of Second International Workshop on Transforms and Filter Banks, R.
Creutzburg and J. Astola,
Eds., Brandenburg an der Havel, Germany, March 5-7,1999, ISBN 952-15-0283-5**

**L. P.
Yaroslavsky, I. F. Siverguina, R. Thaller, L. Dimitrov, Textures, the game
“Life” and non-linear dynamic systems, In: Proceedings of the 17th meeting of
the Austrian Association for pattern recognition on Image analysis and
synthesis table of contents, R. Oldenbourg Verlag GmbH, 1994, pp. 293 – 315 **

**L.
P. Yaroslavsky, V. Kober, Redundancy of signals and
transformations and computational complexity of signal and image processing,
Proceedings of the 12th IAPR, International Conference on Pattern Recognition,
Jerusalem, Israel, October 9-13, 1994, IEEE Computer Society Press, 1994 **

**L.P. Yaroslavsky, On Redundancy of Stereoscopic Pictures, Acta Polytechnica Scandinavica, n. 149. Image Science'85. Proceedings. Helsinki, Finland.,
11-14 June 1985, V. 1, p. 82-85. **

**Reports:
**

**1.
****L. Yaroslavsky,
High Resolution Satellite Image Restoration with the Use of Local Adaptive
Linear Filters, Report on Keshet Program, July,
University Dauphine, Ceremade, Paris,1997 **

__2. __**L. Yaroslavsky,
Target Location: Accuracy, Reliability and Optimal Adaptive Filters, TICSP
series #2, Tampere Int. Center for Signal processing, TTKK, Monistamo,
1999**

__3. __**L.P. Yaroslavsky, K.O. Egiazarian,
J.T. Astola, Transform domain image restoration
methods: review, comparison and interpretation, TICSP Series#9, Tampere Int.
Center for Signal Processing, Tampere University of Technologies, Tampere, Dec.
2000, ISSN 1456-2774. ISBN 952-15-0471-4**

__4. __**L.
Yaroslavsky, Discrete sinc-interpolation methods and their applications in
image processing, TICSP Series #26, Tampere Int. Center for Signal Processing,
Tampere University of Technologies, Tampere, Aug. 2004, ISSN 1456-2774. ISBN
952-15-1230-X**

**Seminar and conference
presentations: **

**L.
Yaroslavsky, Transform Methods in Image Processing: From 1970-th till present
time, Technion Pixel Seminar, 11.06.2013, Technion, Haifa, Israel,**

**L.
Yaroslavsky, Computer-Generated Holograms and 3-D Visual Communication: a
Tutorial, 3DTV-CONFERENCE 2008, 28-30 MAY 2008, Istanbul, Turkey **

**L.
Yaroslavsky, Digital Imaging: Digital Holography and Digital Image Processing,
WINTER COLLEGE 2006, Intern. Center Theoretical Physics, Miramare,
Trieste, Italy, Jan 31-Febr. 10, 2006 **

**L. Yaroslavsky, Digital
Holography and Digital Image Processing, Seminar at University of Alicante,
Spain, Dec. 2004**

**L.
Yaroslavsky, Optical Transforms in Digital Holography, Int. Conference
Holography-05, Varna, Bulgaria, May 21-25, 2005 **

**L. Yaroslavsky, Digital
Holography: 30 years (TICSP Seminar, Tampere,Finland, Oct. 8, 2002)**

**L. Yaroslavsky Nonlinear
Signal Processing Filters: A Unification Approach (Agilent Technologies Labs,
HP Labs, Palo Alto, CA, USA, Febr., 2001) **

**L. Yaroslavsky, Transform
Methods in Image Processing: Image Restoration, Target Location, Image
Resampling (Dept. of Electr. Eng.,
Stanford University, Palo Alto, CA, USA, Febr.
2001) **

**L. Yaroslavsky, Fast Signal
Sinc-Interpolation and its Applications in Image Processing
(TICSP seminar, Tampere, Finland, Oct. 9, 2001) **

**L. Yaroslavsky, The Beauty and Utility of Pseudo- Random Numbers: Computer
art or computer science? (TICSP, Tampere,Finland,
July, 2000) **

**L.P. Yaroslavsky,Transform Domain Image Restoration Methods: review,
comparison and interpretation (TICSP Seminar, Tampere, Finland, July 25,2000 **