Imaging Systems: Processing, Analysis & Compression (IPAC)

May 6-10, 2013

Image Formation & Color Imaging

Color Image Acquisition & Hardware

• Overview: color image processing pipeline
• Optical image formation, optical aberration
• Pixel sensors, color filters / panchromaticity
• Sources of noise in the acquisition process, pixel binning

Color Processing

• Review of relevant concepts in color science
• Color filter arrays and color cross talk
• White balance
• Chromatic aberration correction

Spatial Processing

• Review of relevant concepts in DSP
• Demosaicking algorithms & image denoising

Advanced Topics

• Single shot HDR imaging
• Image quality assessment

Image & Video Compression

Compression Basics

• Transformation & Prediction
• Quantization
• Encoding

The Standards

• JPEG
• JPEG2000
• MPEG-2
• H.264

Brief Intro to Information Theory

• Entropy
• The Shannon Limit
• Huffman Coding

Transformation Techniques

• Discrete cosine transform (DCT)
• Wavelet Transform

Quantization

Encoding

• Run-length encoding
• Huffman coding
• Arithmetic coding

Image Quality Metrics

• MSE and PSNR
• SSIM

Prediction Techniques (Video Compression)

• Motion compensation
• Intra-frame prediction

Computer Vision

Image Segmentation

• Thresholding & region-oriented segmentation
• Differential region growing
• Edge linking & boundary detection
• Hough transform & active contour model

Representation & Description

• Polygonal approximations
• Boundary descriptors, Fourier descriptors & regional descriptors

Advanced Feature Extraction

• Local binary patterns
• Histogram of oriented gradients (HOG), Scale invariant feature transform (SIFT) & Sped up robust features (SURF)

Recognition & Interpretation

• Patterns & pattern classes
• Decision-theoretic methods & structural methods
• Interpretation
• Classification, classical & neural network methods
• Supervised & unsupervised techniques
• Multilayer perception & adaptive resonance theory
• Dimensionality reduction techniques (PCA, LLE & Supervised LLE)

Facilitators:

Vijay Asari is a professor in electrical and computer engineering as well as Ohio Research Scholars endowed chair in wide area surveillance at the University of Dayton, as well as director of the Computer Vision and Wide Area Surveillance Laboratory (UD Vision Lab) at UD. He received his bachelor’s degree in electronics and communication engineering from the University of Kerala, India, in 1978, Masters in Technology and PhD degree in electrical engineering from the Indian Institute of Technology, Madras in 1984 and 1994, respectively. Prior to joining UD, he worked as professor in electrical and computer engineering at Old Dominion University, Virginia, and research fellow at National University of Singapore and Nanyang Technological University, Singapore, and assistant professor at University of Kerala, India. He holds two patents and has published extensively in the areas of image processing, computer vision, machine learning, pattern recognition, and high-performance digital architectures. He has received several teaching, research and advising awards, and is a senior member of IEEE and SPIE.

Eric Balster graduated Magna Cum Laude from the University of Dayton in 1998 with a BS and in 2000 with an MS, both in electrical engineering. He received his PhD in electrical engineering from Ohio State University in 2004. His research area was in the field of image and video processing, specifically in compression and preprocessing algorithm development. From 2002 to 2006, he worked in the Information Directorate, Air Force Research Laboratory (AFRL), continuing his work in image and video processing research. From 2006 to 2008, he worked in the Sensor’s Directorate at AFRL, where he was the lead aircraft software development, support, and flight test engineer for a prototype wide-area persistent surveillance system. Since 2008 he has worked as an assistant professor at the University of Dayton where he continues to research in image processing and aerial surveillance processing.

Keigo Hirakawa joined University of Dayton as Assistant Professor of Electrical and Computer Engineering in 2010. Prior to this, he was with Harvard University as a Research Associate of the Department of Statistics and School of Engineering and Applied Sciences. He simultaneously earned Ph.Ds in Electrical and Computer Engineering from Cornell University and M.M. in Jazz Performance from New England Conservatory of Music. He received his B.S. in Electrical Engineering from Princeton University. He has published extensively on the topics of statistics, algorithmic development of image processing, computer vision, biomedical imaging, sensor designs and digital camera designs. He received a number of recognitions, and is an associate editor for SPIE/IS&T Journal of Electronic Imaging.

Frank Scarpino, Professor Emeritus, School of Engineering-University of Dayton, has BSEE and MSEE degrees from the University of Cincinnati and a PhD degree in Electrical engineering from the University of Dayton. Since 1998, he has worked part time in the AFRL Reconfigurable Computing Group, primarily designing data compression for imaging systems. Prior to working at the University of Dayton, he served in AFRL Division manager positions in the areas of avionic systems and flight control. He also worked on the development of advanced digital communication systems at AFRL. Previous to his work at AFRL he was a department manager in the areas of microprocessors, memories, and digital communications hardware and software systems for commercial data processing.

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Digital Holography

June 3-7

• Introduction to Analog and Digital Holography
• Phase Unwrapping
• Phase-shifting Digital Holography
• Analog and Digital Holographic Interferometry
• Multi-Wavelength Digital Holography
• Digital Holographic Microscopy
• Single-beam Holographic Tomography
• Compressive sensing and Compressive Holography

Facilitators:

George Nehmetallah, Clinical Asst. Professor, Catholic U. America.

Partha Banerjee, Professor, EO and ECE; FinstP, Fellow, OSA, SPIE

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Nonlinear Optics

June 3-7

• Introduction to nonlinear susceptibility
• X(2) processes
• Phase matching and quasi-phase matching
• Second harmonic generation, sum and difference frequencies, parametric oscillations
• X(3) processes
• Nonlinear refractive index and absorption
• Self-focusing and self-phase modulation
• Raman and Brillouin Processes

Facilitators:

Peter Powers, Professor, EO and Physics; Fellow, SPIE

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Thin-Film Engineering

June 10-14

• Fundamentals of thin film design and deposition
• Physical vapor deposition
• Chemical vapor deposition
• Advances in thin film research: ultrathin films, nanostructured thin films
• Thin film metrology
• Applications and case studies: photonic bandgaps, electrochromic films, window coatings

Facilitators:

Jian Gao, Research Scientist, EO

Andrew Sarangan, Professor, EO and ECE; Director, Nanofab lab

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Introduction to Ladar

June 10-14

• Introduction to Ladar
• Ladar sources & waveforms
• Optical apertures and beam steering
• Engergy transport•Radiometry & range eqn.
• Receivers for coherent and direct detection
• Detection theory
• Single and multi-aperture ladars
• Applications & systems Ladar processing

Facilitators:

Paul McManamon, Adjunct faculty, EO, Fellow, IEEE, OSA, SPIE, MSS, AFRL

Ed Watson, Adjunct faculty, EO; Tech staff, UDRI; Fellow, OSA, SPIE, AFRL, MSS

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