Image Systems

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Two main software developments have emerged from our work. One is the suite of tools we call the [http://imageval.com Image Systems Engineering Toolbox]. These tools are designed for simulation of image systems hardware.  
Two main software developments have emerged from our work. One is the suite of tools we call the [http://imageval.com Image Systems Engineering Toolbox]. These tools are designed for simulation of image systems hardware.  
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A second, related project we participate in, with an emphasis on modeling biological image systems, is [http://web.stanford.edu/~ej/computational-eye-brain/ Computational Eye-Brain]. This is a joint project with Brainard, Rieke, and CHichilnisky.  The software for that project is a spinoff that we call ISET for Biology (ISETBIO).  The open-source code is hosted  [https://github.com/isetbio/isetbio as ISETBIO on github].
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A second, related project we participate in, with an emphasis on modeling biological image systems, is [http://web.stanford.edu/~ej/computational-eye-brain/ Computational Eye-Brain]. This is a joint project with Brainard, Chichilnisky and Rieke.  The software for that project is a spinoff that we call ISET for Biology (ISETBIO).  The open-source code is hosted  [https://github.com/isetbio/isetbio as ISETBIO on github].
= Image quality metrics =
= Image quality metrics =

Revision as of 14:49, 26 November 2015

Our lab develops algorithms and software for to image systems engineering. We do this work as part of Stanford's Center for Image Systems Engineering, a program whose participants work on devices and algorithms for displays, cameras, computer graphics, and computer vision.

The focus in our group is on simulations of the image systems pipeline from describing the scene, through optics, sensors, image processing and displays. We are particularly connected to features of the image system pipeline that relate with the human visual system and image quality metrics. But we have a great deal of work that extends beyond human vision and biology. Two main software developments have emerged from our work. One is the suite of tools we call the Image Systems Engineering Toolbox. These tools are designed for simulation of image systems hardware.

A second, related project we participate in, with an emphasis on modeling biological image systems, is Computational Eye-Brain. This is a joint project with Brainard, Chichilnisky and Rieke. The software for that project is a spinoff that we call ISET for Biology (ISETBIO). The open-source code is hosted as ISETBIO on github.

Contents

Image quality metrics

CIELAB metrics

Spatial CIELAB

vSNR

Reference free metrics

Engineering metrics

PSNR

Multispectral imaging

Sensors

Presentations

SPIE tutorials

We have given a variety of tutorials and classes on color vision, digital imaging, and sensors. Notes from these classes as well as some ongoing writing projects are linked here.

SPIE sensor modeling and image quality evaluation tutorial 2010 (Wandell, Farrell, Catrysse)

(2006, 2007, 2008, 2009)

PGE tutorial

Applied Vision and Image Systems Engineering (Psych 221)

Notes from class?

Personal tools