Stanford Center for Image Systems Engineering

Image/Video/Document Processing

• EE168 Introduction to Digital Image Processing -- Introduction to processing of 2-D and 3-D data, combining theoretical material with implementation of computer algorithms.
• EE262 Two-Dimensional Imaging -- Time/frequency representations, two-dimensional auto/cross correlation, Hankel & Abel transforms, line integrals, impulses and sampling, reconstruction and tomography, and imaging radar.
• EE368A Digital Image Processing -- Mathematics of image processing operations, including sampling, quantization, linear and non-linear filtering, compression, enhancement, and restoration.
• EE392J Digital Video Processing -- Topics include spatio-temporal sampling, motion analysis, filtering and general video processing (restoration, super resolution, frame-rate conversion, and deinterlacing) and compression (frame-based and object-based methods).
• EE292B Electronic Documents: Paper to Digital -- Concepts and principles that underlie techniques of acquiring, storing, and accessing paper documents in digital form, for use in personal and corporate collections and digital libraries.
• Psych221/EE362 Applied Vision and Image Systems -- Design and control of color imaging devices. Aspects of human vision relevant to software and hardware design.
• Psych267/EE365 Vision and Image Processing Laboratory -- Hands-on exploration of image processing, human and computer vision, and computer graphics.
• EE398 Image and Video Compression-- The principles of source coding for the efficient storage and transmission of still and moving images.
• EE398A Image Communication I -- Principles and systems for digital image communication, emphasizing source coding for efficient storage and transmission of still and moving images.
• EE398B Image Communication II -- Second of two-course series. Digital video communication techniques.

Graphics and Computer Vision

• CS248 (EE287) Introduction to Computer Graphics -- 2D and 3D geometric transformations, scene modeling and simulation, local and global shading models, color and photorealistic image synthesis.
• CS223B (EE289) Introduction to Computer Vision -- Image formation, edge detection, image segmentation, shading, texture, stereo, motion, and shape representation.

Fourier Transform and Statistical Optics

• EE261 The Fourier Transform and Its Applications -- Fourier transform and its diverse applications in engineering, especially the analysis of linear systems.
• EE366 Fourier Optics -- Applications of Fourier theory to the analysis and synthesis of optical imaging and optical data processing systems.

Compression

• EE398A,B Image Communication I/II -- A comprehensive overview of the principles and algorithms employed in modern source coding schemes for still and moving images.
• EE372 Quantization and Data Compression -- Theory and design of codes for quantization and signal compression systems (source coding systems), systems which convert analog or high bit rate digital signals to low bit rate signals while optimizing fidelity subject to available communications and storage capacity. Focus is theoretical and practical tradeoffs among bit rate, fidelity, and complexity in codes for quantization and compression.

Hardware

• EE392B Introduction to Image Sensors and Digital Cameras -- An introduction to the design and analysis of image sensors and digital cameras. Topics include: an introduction to imaging optics; silicon photodetector spectral response and dark current; CCD and CMOS passive and active pixel sensor operation; temporal noise and Fixed Pattern Noise (FPN) analysis; SNR and dynamic range; spatial resolution and Modulation Transfer Function (MTF); A/D conversion approaches; color interpolation, correction, and balance.

Medical Imaging

• EE369A Medical Imaging Systems l -- Imaging internal structures within the body using high-energy radiation, studied from a systems perspective.
• EE369B Medical Imaging Systems II -- Imaging internal structures of the body using non-ionizing radiation, studied from a systems perspective.

Neuroscience

• Psych 276: Computational Neuroscience -- Introduction to computational neuroscience: biophysics of computation, sensory systems, brain and behavior, memory, development and plasticity.
• Psych 202: Cognitive Neuroscience -- The anatomy and physiology of the brain.  Neuronal pathways and mechanisms of vision, attention, language, motor control, and consciousness.

Advanced Topics

• EE368C Advanced Topics in Image, Video, and Multimedia Systems -- Implementation and investigation of advanced multimedia algorithms in topics such as audio/video streaming over the internet, wireless multimedia, watermarking, media server architecture, vision/graphics techniques, and networked video/graphics applications.