Prof. Karen O. Egiazarian
at Tampere Univ of Technology
SPIE Involvement:
Conference Chair | Journal Editor-in-Chief | Author | Editor | Instructor
Publications (132)

SPIE Journal Paper | September 11, 2017
OE Vol. 56 Issue 09
KEYWORDS: Super resolution, Phase retrieval, Sensors, Spatial light modulators, Phase shift keying, Wavefronts, Algorithm development, Reconstruction algorithms, Phase modulation, Diffraction

PROCEEDINGS ARTICLE | June 26, 2017
Proc. SPIE. 10335, Digital Optical Technologies 2017
KEYWORDS: Diffraction, Holography, Super resolution, Computational imaging, Phase modulation, Sensors, Wavefronts, Phase retrieval, Wave propagation, Image filtering, Reconstruction algorithms, Algorithm development, 3D image processing

PROCEEDINGS ARTICLE | May 26, 2016
Proc. SPIE. 9869, Mobile Multimedia/Image Processing, Security, and Applications 2016
KEYWORDS: Content based image retrieval, Convolutional neural networks, Visualization, Image processing, Feature extraction, Medical imaging, Neural networks, Associative arrays, Image retrieval, Binary data

SPIE Journal Paper | January 7, 2016
JEI Vol. 25 Issue 01

PROCEEDINGS ARTICLE | May 21, 2015
Proc. SPIE. 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015
KEYWORDS: Image processing algorithms and systems, Image segmentation, Image processing, Composites, Image restoration, Computing systems, Electron beam melting, Reconstruction algorithms, Autoregressive models, Systems modeling

PROCEEDINGS ARTICLE | May 8, 2015
Proc. SPIE. 9508, Holography: Advances and Modern Trends IV
KEYWORDS: Holograms, Holography, Digital holography, Sensors, Argon, Wavefronts, Associative arrays, Reconstruction algorithms, Wavefront reconstruction, Algorithm development

Showing 5 of 132 publications
Conference Committee Involvement (14)
Image Processing: Algorithms and Systems XIII
10 February 2015 | San Francisco, California, United States
Image Processing: Algorithms and Systems XII
3 February 2014 | San Francisco, California, United States
Image Processing: Algorithms and Systems XI
4 February 2013 | Burlingame, California, United States
Image Processing: Algorithms and Systems X
23 January 2012 | Burlingame, California, United States
Image Processing: Algorithms and Systems IX
24 January 2011 | San Francisco Airport, California, United States
Showing 5 of 14 published special sections
Course Instructor
SC761: Novel Spatially Adaptive Anisotropic Local Approximation Techniques in Image Processing
This half-day course presents a practical and application oriented overview of novel advanced image processing algorithms. Briefly the idea is as follows: the concept of adaptive local polynomial approximation (LPA) has been developed to deal with anisotropic signals. This type of method searches for a largest local star-shaped neighborhood where LPA fits well to data. It is typically applied in a point-wise manner and defines a nonlinear varying scale (window size and shape) adaptive filter. This adaptation is based on recent adaptive estimation results that have been obtained in mathematical statistics. Local versions of the local maximum/quasi likelihood are used for non-Gaussian models. Special algorithms have been designed for photon-limited imaging based on the Poisson distribution of data. Overall, the techniques covered in the course belong to the general class of nonlinear spatially adaptive filters and they demonstrate state-of-art performance and on many occasions visually and quantitatively outperform the best methods currently in use. A wide scope of imaging problems is considered: denoising Gaussian and non-Gaussian images, non-blind deblurring, blind multichannel deblurring, super-resolution imaging, denoising poissonian signals, multiresolution imaging, edge detection, color imaging, etc. The algorithms are implemented in Matlab codes and based on efficient frequency domain calculations.
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