Books
1. A. K. Katsaggelos and N.
Ñ. Galatsanos
and, Editors, “Image Recovery Techniques for Image and Video Compression and
Transmission”, Kluwer Academic, October 1998.
Book Chapters
1. Y.
Yang and N. P. Galatsanos, ”Projection-Based Image Reconstruction
from Compressed Data”, Signal Processing Methods for Audio, Images and
Telecommunications, Editors: P. Clarkson, and H. Stark, Academic Press,
Chapter 7, pp. 263-298, 1994.
2. N. Galatsanos, V. Mesarovic,
M. Kang, and A. K. Katsaggelos, “Image Restoration:
Theory and Applications”, Medical Imaging Techniques and Applications,
Volume 3, Diagnosis Optimization Techniques, Editor:
C. Leondes, Gordon and Breach International, Chapter
I, pp. 1-68, 1997.
3. Y. Yang, M. Choi, and N. Galatsanos, “Image Recovery from Compressed Video Using
Multi-channel Regularization”, Signal Recovery Techniques for Image and
Video Compression and Transmission, Editors: A. K. Katsaggelos
and N. P. Galatsanos, Kluwer
Academic, pp. 69-97, 1998.
4. N. Galatsanos,M.
Wernick, and A. K. Katsaggelos
“Multi-channel Image Recovery”, The Handbook of Image and Video Processing,
pp. 161-174, Editor: Al Bovik, Academic Press
2000.
5. B. Tom, N. Galatsanos, and A. Katsaggelos,
“Reconstruction of a High Resolution Image from Multiple Low Resolution
Images”, pp. 73-105, in Super Resolution Imaging, Editor S. Chaudhuri, Kluwer 2001.
6. N. Galatsanos, A. Segall, A. Katsaggelos, “Digital Image Enhancement” Encyclopedia of
Optical Engineering.,
2003.
7. N. Galatsanos,M. Wernick,
and A. K. Katsaggelos “Multi-channel Image Recovery”,
The Handbook of Image and Video Processing, pp. 161-174, Editor: Al Bovik, Academic Press 2000.
8. N. Galatsanos,M. Wernick,
A. K. Katsaggelos and Rafael Molina “Multi-channel
Image Recovery”, The Handbook of Image and Video Processing, Second
Edition, pp. 203-218, Editor: Al Bovik,
Academic Press 2005.
9. Y. Yang, N. Galatsanos, and A. Katsaggelos,
“Recovery Methods for Post Processing of Compressed Images”The
Handbook of Image and Video Processing, Second Edition,
pp. 761-776, Editor: Al Bovik,
Academic Press 2005.
10. A. Likas and N. Galatsanos, “Variational Bayesian Blind Image Deconvolution”,
in Blind Image Deconvolution: Theory And Applications, P. Campisi
and K. Egiazarian, Eds., CRC press, May 2007.
Journal Papers in Chronological Order
1. N. P. Galatsanos
and R. T. Chin, “Digital Restoration of Multi-channel Images,”
IEEE Trans. on Acoustics Speech and
Signal Processing, Vol. 37, No. 3, pp. 415-421, March 1989.
2. N. P. Galatsanos,
A. K. Katsaggelos, R. T. Chin and A. D. Hillery, “Least Squares Multi-channel Image Restoration,
(pdf copy)” IEEE
Trans. on Signal Processing, Vol. 39, No. 10, pp. 2222-2236, October 1991.
3. N. P. Galatsanos
and R. T. Chin, “Multi-channel Restoration of Color Images by Kalman Filtering,”IEEE Trans. on Signal Processing, Vol. 39,
No. 10, pp. 2237-2252, October 1991.
4. N. P. Galatsanos
and A. K. Katsaggelos, “Methods for Choosing the Regularization Parameter and
Estimating the Noise Variance in Image Restoration and their Relation,”
IEEE Trans. on Image Processing, Vol.
1, No. 3, pp. 322-336, July 1992.
5. Y. Huang, H. M. Dreizen, and N. P. Galatsanos, “Prioritized DCT for Compression and Progressive
Transmission of Images,” IEEE
Trans. on Image Processing, Vol. 1, No. 4, pp. 477-487, October 1992.
6. A. K. Katsaggelos,
K. . Lay, and N. P. Galatsanos, “General Framework for Multi-channel Signal Processing,”
IEEE Trans. on Image Processing, Vol.
2, No. 3, pp. 417-420, July 1993.
7. Y. Yang, N. P. Galatsanos and A. K. Katsaggelos,
“Regularized Image Reconstruction to Remove Blocking
Artifacts from Block Discrete Cosine Transform Compressed Images,” IEEE Trans. on Circuits and Systems for
Video Technology, Vol. 3, No. 6, pp. 421-432, December 1993.
8. Y. Yang, N. P. Galatsanos, and H. Stark, “Projection Based Blind Deconvolution,” Journal of the Optical Society of America-A, Vol. 11, No. 9, pp.
2401-2409, September 1994.
9. J. L. Wuster,
H. Stark, and N. P. Galatsanos, “Investigation of
Smoothing Techniques for Positron Emission Tomography Imaging,” Journal of Electronic Imaging, Vol. 3,
No. 2, pp. 164-175, April 1994.
10. M. Banham, N. P. Galatsanos,
H. Gonzalez, and A. K. Katsaggelos, “Multi-channel Restoration of Single- channel Images Using a Wavelet Based Subband Decomposition,” IEEE Trans. on Image Processing, Vol. 3, No. 6, pp. 821-833,
November 1994.
11. W. Zhu, N. P. Galatsanos and A. K. Katsaggelos, “Regularized Multi-channel Restoration Using
Cross-Validation,” Graphical Models and
Image Processing, vol. 57, no. 1, pp. 38-54, Jan. 1995.
12. Y. Yang, N. P. Galatsanos and A. K. Katsaggelos, “Projection-Based Spatially-Adaptive Reconstruction of
Block Transform Compressed Images,” IEEE Trans. on Image Processing, Vol. 4, No. 7, pp. 896-908, July
1995.
13. V. Mesarovic, N. P. Galatsanos,
and A. K. Katsaggelos, “Image Restoration Using Regularized Constrained Total-Least
Squares,” IEEE Trans. on Image
Processing, vol. 4, No. 8, pp. 1096-1108, August 1995.
14. S. Yu and N. P. Galatsanos, “Binary Decomposition for High-Order Entropy Coding of
Grayscale Images,” IEEE Trans.
on Circuits and Systems for Video Technology, Vol. 6, No. 1, pp. 21-31,
February 1996.
15. M. G. Choi, N. P. Galatsanos,
and A. K. Katsaggelos, “Multi-channel Regularized Iterative Motion Compensated
Restoration of Image Sequences,” Journal
of Visual Communications and Image Representation, Vol. 7, No. 3, pp.
244-258, September 1996.
16. Y. Yang and N. P. Galatsanos, “Compression Artifact Removal Using Projections onto
Convex Sets and Line Process Modeling,” IEEE Trans. on Image Processing, Vol. 6, No. 10, pp. 1345-1357,
October 1997.
17. K. Saadah, N. P. Galatsanos,
D. Bless and A. Ramos, “Deformation analysis of the vocal folds from
video-stroboscopic image sequences,” Journal of the Acoustical Society of America, Vol. 103, No. 6, pp.
3627-3641, June 1998.
18. K. C. Haddad, H. Stark and N. P. Galatsanos, “Design of Two-Channel Equi-ripple FIR
Linear-Phase Quadrature Mirror Filters Using The Vector Space Projection
Method,” IEEE Signal
Processing Letters, Vol. 5, No. 167-170, July 1998.
19. A. Abu-Naser, N. P. Galatsanos,
M. Wernick and D. Shonfeld,
“Object Recognition Based on Impulse Restoration Using
the Expectation-Maximization Algorithm,” Journal of the Optical Society of America, Vol. 15, No. 9, pp.
2327-2340, September 1998.
20. K. Haddad, H. Stark, and N. P. Galatsanos, “Design of Digital Linear-Phase FIR Crossover Systems
for Loudspeakers by the Method of Vector Space Projections,” IEEE Trans. on Signal Processing, Vol.
47, No. 11, pp. 3058-3066, November 1999.
21. W. Zhu, Y. Wang, N. P. Galatsanos, and J.
Zhang, “An Efficient Solution to the Regularized Total Least
Squares Approach for Non-Convolutional Linear Inverse Problems,” IEEE Trans. on Image Processing, Vol. 8,
Íï. 11, pp. 1657-1661,
November 1999.
22. V. N. Mesarovic, N. P. Galatsanos, and
M. N. Wernick, “Iterative LMMSE Restoration of Partially-Known Blurs,”
Journal of the Optical Society of
America-A, Vol. 17, pp. 711-723, April 2000.
23. K. Haddad, H. Stark, and N. P. Galatsanos, “Constrained FIR Filters Design by the Method of Vector
Space Projections,” IEEE
Transactions ïn Circuits and Systems II
Analog and Digital Signal Processing, Vol. 47, No. 8, pp.
714-726, August 2000.
24. N. P. Galatsanos, V. N. Mesarovic, R.
M. Molina and A. K. Katsaggelos, “Hierarchical Bayesian Image Restoration from
Partially-Known Blurs,” IEEE
Trans. on Image Processing, Vol. 9, No. 10, pp. 1784-1797, October 2000.
25. M. G. Choi; Yongyi Yang; N. P. Galatsanos, “Multichannel regularized recovery of compressed video
sequences”, IEEE Transactions on Circuits and Systems II: Analog
and Digital Signal Processing, Volume: 48 Issue:4,
April 2001 Page(s): 376 –387.
26. N. P. Galatsanos, V. N. Mesarovic, R.
M. Molina, J. Mateos, and A. K. Katsaggelos, “Hyper-parameter Estimation Using Gamma Hyper-priors in
Image Restoration from Partially-Known Blurs,” Optical Engineering, 41(8),
pp. 1845-1854, August 2002.
27. R. Dufour, E. Miller and N. P. Galatsanos,
“Template matching based object recognition with
unknown geometry”, IEEE Transactions on Image Processing, vol. 11, No. 12, pp.
1385-1396, December 2002.
28. I El-Naqa, Y Yang, M N. Wernick, N. P.
Galatsanos, and R M. Nishikawa, “A Support Vector Machine Approach for Detection of Microcalcifications”, IEEE
Transactions on Medical Imaging, Vol. 21, No. 12, pp. 1552-1653, December
2002.
29. J. Brankov, N. Galatsanos, Y. Yang and M. Wernick,
“Segmentation of Dynamic PET or fMRI Images Based on a Similarity Metric”, IEEE
Transactions on Nuclear Science, October 2003.
30. M. Wernick, O. Wirjadi, D. Chapman, Z. Zhong, N.
Galatsanos, Y. Yang, J. Brankov,
O. Oltulu, M. Anastasio and C. Muehleman, “Multiple-image Radiography”, Physics in
Medicine and Biology, Vol. 48, No. 23, pp.
3875-3895, December 2003.
31. Likas and N. Galatsanos, “A Variational Approach For
Bayesian Blind Image Deconvolution”, IEEE Transactions on Signal Processing,
Volume: 52 , Issue: 8 , pp:2222 – 2233, August 2004.
32. El. Naqa, Y. Yang, and N. Galatsanos
and M. Wernick. “A Similarity Learning Approach to Content Based Image
Retrieval: Application to Digital Mammography”, IEEE Transactions
on Medical Imaging, Volume: 23 , Issue: 10 ,
pp:1233-1244, Oct. 2004
33. P. Dong, J. Brankov, N. Galatsanos, Y. Yang,
and F. Davoine, “Digital Watermarking Robust to Geometric Distortion”, IEEE
Transactions on Image Processing, Vol. 14, No. 12, pp. 2140-2150, December
2005.
34. K. Blekas, A. Likas, N. Galatsanos and I. E. Lagaris. “A Spatially-Constrained Mixture Model for Image
Segmentation”, IEEE Transactions on Neural Networks, Volume
16, Issue 2, March 2005 Page(s):494 - 498
35. K. Blekas,
N. P. Galatsanos, A. Likas,
and I. E. Lagaris, "Mixture Model Analysis of DNA Micro-Array Images",
IEEE Transactions on Medical Imaging, Volume: 24, Issue: 7,
pp. 901- 909, July 2005.
36. N. A. Woods, N.
P. Galatsanos, and A. K. Katsaggelos,
"Stochastic
Methods for Joint Registration and Interpolation
and Multiple Under Sampled Images", IEEE Trans. on Image
Processing, vol. 15, no. 1, pp. 201-213, Jan. 2006.
37. Abu-Naser,
N. P. Galatsanos, and M. N. Wernick,
"Methods of
Detecting Objects in Photon Limited Images", Journal of the Optical Society of America-A, A 23, 272-278, February 2006.
38. Chandas, N. P. Galatsanos,
and A. Likas, "Bayesian
Restoration Using a New Non-Stationary Edge-Preserving Image Prior", IEEE
Trans. on Image Processing, Vol. 15, No. 10, pp. 2987-2997, October 2006
39. D. Tzikas, L. Wei, A. Likas, Y.
Yang, and N. Galatsanos, "A Tutorial on Relevance Vector Machines for Regression
and Classification with Applications", EURASIP NEWS LETTER,
Vol. 17, No. 2, pp. 4-23, June 2006.
40. C. Nikou,
N. Galatsanos, and A. Likas,
"A
Class-Adaptive Spatially Variant Mixture Model for Image Segmentation",
IEEE Trans. on Image Processing, Vol. 16, No. 4, pp. 1121-1130, April
2007.
41. J. Chantas,
N. P. Galatsanos, and N. Woods, "Super
Resolution Based on Fast Registration and Maximum A Posteriori Reconstruction",
IEEE Trans. on Image Processing, Vol. 16, No.
7, pp. 1821 – 1830, July 2007.
42. A. Lukic,
M. Wernick, D. Tzikas, X.
Chen, A. Likas, N. Galatsanos,
Y. Yang, F. Zhao and S. Strother, “Bayesian
Kernel Methods for Analysis of Functional Neuroimages”, IEEE Trans. on Medical Imaging,
Vol. 26, No. 12, pp. 1613-1622, December 2007.
43. A. A. Tzika, L. Astrakas, H.i Cao, D. Mintzopoulos, O. C. Andronesi, M. Mindrinos, J.
Zhang, L. Rahme, K. Blekas,
A.C. Likas, N.P. Galatsanos
and P. M. Black “Combination
of high-resolution magic angle spinning proton magnetic resonance spectroscopy
and microscale
genomics to type brain tumor biopsies”, International Journal of
Molecular Medicine, Vol. 20, No. 2, pp. 199-208, August 2007.
44. Argyropoulou, M.I., Zikou, A.K., Tzovara, I., Nikas, A., Blekas, K., Margariti, P., Galatsanos, N., Asproudis, I. “Non-arteritic anterior ischaemic optic neuropathy:
Evaluation of the brain and optic pathway by conventional MRI and magnetisation transfer
imaging”, European Radiology, Vol. 17, No. 7, pp. 1669-1674, 2007.
45. D. Tzikas, A. Likas, and N. Galatsanos, "Large
Scale Multikernel
Relevance Vector Machine for Object Detection", International
Journal on Artificial Intelligence Tools, vol. 26, no. 12, pp. 1613-1622,
December 2007.
46. A. Mairgiotis, N. Galatsanos and Y. Yang, "New
Additive Watermark Detectors Based on a Hierarchical Spatially Adaptive Image
Model", IEEE Trans. on Information Forensics and Security, .
47. D. Tzikas, A. Likas and N. Galatsanos, "Life After the EM Algorithm: The Variational Approximation for Bayesian
Inference", IEEE Signal
Processing Magazine, .
48. K. Blekas,
C. Nikou, N. Galatsanos and
N. Tsekos, "A
regression Mixture model with spatial constraints for clustering spatiotemporal
data", Journal of Artificial Intelligence Tools,.
49. G. Chantas, N. Galatsanos, A. Likas and M. Saunders, "Variational
Bayesian Image Restoration Based on a Product of T-Distributions Image Prior ", IEEE Trans. on Image Processing, .