Virtual Prototyping

Simulating multi-camera imaging systems for depth estimation, enhanced photography and video effects, G. Grover, F. Nalla and R. Narayanswamy, Topical Meeting on Imaging Systems and Applications, OSA Congress on Imaging and Applied Optics, 2015.

Image Systems Simulation, J. E. Farrell and B. A. Wandell, In Handbook of Digital Imaging , John Wiley & Sons, Ltd. 2015

Digital Camera Simulation J. Farrell, P. Catrysse, B. Wandell, In Journal of Applied Optics , Vol 15, No. 4, February, 2012, A80-A90.

A simulation tool for evaluating digital camera image quality. J. E. Farrell, F. Xiao, P. Catrysse, B. Wandell, In Proc. SPIE Int. Soc. Opt. Eng., Vol. 5294, 124, 2004.

Consumer and Mobile Photography

Local linear approximation for camera image processing pipelines, H. Jiang, Q. Tian, J. Farrell, B. Wandell, IS&T International Symposium on Electronic Imaging 2016: Digital Photography and Mobile Imaging XII

Automatically designing an image processing pipeline for a five-band camera prototype using the local, linear and learned (L3) method, Q. Tian, H. Blasinski, S.P. Lansel, H. Jian, M. Fukunishi, J. E. Farrell and B. A. Wandell, In Proc. SPIE Int. Soc. Opt. Eng, Vol. 9404 (February 27, 2015)

Efficient illuminant correction in the local, linear, learned (L3) method, F. G. Germain ; I. A. Akinola ; Q.Tian ; S. Lansel ; B. A. Wandell, In Proc. SPIE Int. Soc. Opt. Eng, Vol. 9404 (February 27, 2015)

Digital camera imaging system simulation, J. Chen, K. Venkataraman, D. Bakin, B. Rodricks, R. Gravelle, P. Rao, Y. Ni, IEEE Transactions on Electron Devices, Vol. 56, No. 11, 2009

Interleaved Imaging: An Imaging System Inspired by Rod-Cone Vision, M. Parmar and B. Wandell, In Proc. SPIE Int. Soc. Opt. Eng, 2009

Sensor calibration and simulation, J. Farrell, M. Okincha, M. Parmar, In Proc. SPIE Int. Soc. Opt. Eng., Vol. 6817, 2008

Medical Imaging

Multispectral imaging of tissue ablation, H. Blasinski, J. Caves, J. Farrell, B. Wandell, P. Wang, 2016

Design, Simulation and Evaluation of Imaging Oximeter, S. Dai, Y. Tian, J. Farrell, Proc. SPIE 8660, Digital Photography IX, 86600B (February 4, 2013)

Miniaturized integration of a fluorescence microscope, K. K. Ghosh, L. D. Burns, E. D. Cocker, A. Nimmerjahn, Y. Ziv, A. E lGamal, M. J. Schnitzer, Nature Methods, Vol. 8. No. 10, October 2011

Autonomous Vehicles

Simulation of the effects of sensor and environmental parameters on image classification: Garikoitz Lerma-Usabiaga, Brian Wandell

Underwater and Space Imaging

Three parameter underwater image formation model. Blasinski and J. Farrell, IS&T International Symposium on Electronic Imaging 2016: Digital Photography and Mobile Imaging XII

Simulation of underwater imaging systems, H. Blasinski and J. Farrell, Topical Meeting on Imaging Systems and Applications, OSA Congress on Imaging and Applied Optics, 2015.Image Quality Tradeoffs

Image Quality Metrics and Trade-offs

Using visible SNR (vSNR) to compare image quality of pixel binning and digital resizing, J. Farrell, M. Okincha, M. ParmarP. and B. Wandell, In Proc. SPIE Int. Soc. Opt. Eng,, Vol. 7537, 2010

Visibility of Uncorrelated Image Noise, J. Xu, R. Bowen, J. Wang and J. Farrell, In Proc. SPIE Int. Soc. Opt. Eng,, Vol. 7537, 2010

Mobile Imaging: The Big Challenge of the Small Pixel, F. Xiao, J. Farrell, P. Catrysse, B. Wandell, In Proc. SPIE Int. Soc. Opt. Eng, 2009

Resolution and light sensitivity tradeoff with pixel size, J. E. Farrell, F. Xiao, S. Kavusi, In Proc. SPIE Int. Soc. Opt. Eng., Vol. 6069, 2006

Optical interaction of space and wavelength in high resolution digital imagers, B. Rodricks, K. Venkataraman, P. B. Catrysse and B. Wandell, In Proc. SPIE Int. Soc. Opt. Eng., Vol. 6069, 04, 2006.

Camera-motion and effective spatial resolution. F. Xiao, A. Silverstein, J. Farrell, In Proceedings of the International Congress of Imaging Science, May 2006

Roadmap for CMOS image sensors: Moore meets Planck and Sommerfeld, P. B. Catrysse and B. A. Wandell, In Proc. SPIE Int. Soc. Opt. Eng. Vol. 5678,1, 2005.

System Component: Scene

Spatio-spectral reconstruction of the multispectral datacube using sparse recovery, M. Parmar, S. Lansel, B. Wandell, In /Proc. IEEE International Conference on Image Processing (ICIP)/, 2008

A Database of high dynamic range visible and near-infrared multispectral images, M. Parmar, F. Imai, S.H. Park, J. Farrell, In Proc. SPIE Int. Soc. Opt. Eng., Vol. 6817, 2008.

System Component: Optics

PS2F: Physically-based point spread function for digital image processing. M. Pieroni, B. Wandell, P. Catrysse, D. DeRossi, Topical Meeting on Imaging Systems and Applications, OSA Congress on Imaging and Applied Optics, 2015.

Spectral Optics Simulation for Rapid Image Systems Prototyping: Ray-tracing, Diffraction and Chromatic AberrationA Lin, JE Farrell, BA Wandell ,Topical Meeting on Imaging Systems and Applications, OSA Congress on Imaging and Applied Optics, 2014System Component: Sensor

Integrating lens design with digital camera simulation, P. Y. Maeda. P. B. Catrysse and B. A. Wandell, In Proc. SPIE Int. Soc. Opt. Eng., Vol. 5678, 48, 2005.

System Component: Image Processor

Local linear approximation for camera image processing pipelines, H. Jiang, Q. Tian, J. Farrell, B. Wandell, IS&T International Symposium on Electronic Imaging 2016: Digital Photography and Mobile Imaging XII

Automatically designing an image processing pipeline for a five-band camera prototype using the local, linear and learned (L3) method, Q. Tian, H. Blasinski, S.P. Lansel, H. Jian, M. Fukunishi, J. E. Farrell and B. A. Wandell, In Proc. SPIE Int. Soc. Opt. Eng, Vol. 9404 (February 27, 2015)

Efficient illuminant correction in the local, linear, learned (L3) method, F. G. Germain ; I. A. Akinola ; Q.Tian ; S. Lansel ; B. A. Wandell, In Proc. SPIE Int. Soc. Opt. Eng, Vol. 9404 (February 27, 2015)

System Component: Display

A Display Simulation Toolbox for Image Quality Evaluation, J. Farrell, G. Ng, X. Ding, K. Larson, B. Wandell, In IEEE/OSA Journal of Display Technology, 2008. Vol. 4(2): p. 262-270