Prof. Eli Peli Profile

Prof. Eli Peli

Senior Scientist/Professor at Schepens Eye Research Institute of Mass Eye and Ear

SPIE Involvement:

Author

Publications (29)

Proceedings Article | 17 October 2023 Presentation + Paper

Efficient depth localization of objects in a 3D space using computational integral imaging

Michael Kadosh, Anton Fraiman, Eli Peli, Yitzhak Yitzhaky

Proceedings Volume 12742, 1274208 (2023) https://doi.org/10.1117/12.2683627

KEYWORDS: Object detection, Cameras, Integral imaging, 3D image processing, Video, Image segmentation, Imaging arrays, Image restoration, Surveillance

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Proceedings Article | 16 March 2023 Poster + Paper

Development of virtual reality walking collision detection test on head-mounted display

Alex Hwang, Eli Peli, Jae-Hyun Jung

Proceedings Volume 12449, 124491J (2023) https://doi.org/10.1117/12.2647141

KEYWORDS: Virtual reality, Head-mounted displays, Visualization, Head, Mixed reality, Calibration, Design and modelling, Collision avoidance, Eye, Motion detection

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SPIE Journal Paper | 22 December 2016

Comparing object recognition from binary and bipolar edge images for visual prostheses

Jae-Hyun Jung, Tian Pu, Eli Peli

JEI, Vol. 25, Issue 06, 061619, (December 2016) https://doi.org/10.1117/12.10.1117/1.JEI.25.6.061619

KEYWORDS: Binary data, Object recognition, Visualization, Image filtering, Sensors, Plutonium, Image processing, Visual process modeling, Instrument modeling, Edge detection

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SPIE Journal Paper | 14 May 2014 Open Access

Special Section Guest Editorial: Human Vision

Eli Peli, Susana Marcos, Stephen Burns, Joyce Farrell

OE, Vol. 53, Issue 06, 061701, (May 2014) https://doi.org/10.1117/12.10.1117/1.OE.53.6.061701

KEYWORDS: Human vision and color perception, Visual optics, Imaging systems, Eye, Optical engineering, Medical research, Biomedical optics, Systems engineering, Visual system, Light emitting diodes

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SPIE Journal Paper | 17 January 2014 Open Access

Impact of high power and angle of incidence on prism corrections for visual field loss

Jae-Hyun Jung, Eliezer Peli

OE, Vol. 53, Issue 06, 061707, (January 2014) https://doi.org/10.1117/12.10.1117/1.OE.53.6.061707

KEYWORDS: Prisms, Reflection, Visualization, Eye, Optical engineering, Transmittance, Polymethylmethacrylate, Photography, Solids, Ray tracing

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Proceedings Article | 14 March 2013 Paper

Is image quality a function of contrast perception?

Andrew Haun, Eli Peli

Proceedings Volume 8651, 86510C (2013) https://doi.org/10.1117/12.2008620

KEYWORDS: Image quality, Contrast sensitivity, Visual process modeling, Image compression, Visual system, Visualization, Image quality standards, Image processing, Quality measurement, Visibility

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Proceedings Article | 25 January 2012 Paper

Complexities of complex contrast

Andrew Haun, Eli Peli

Proceedings Volume 8292, 82920E (2012) https://doi.org/10.1117/12.915365

KEYWORDS: Image quality, Visualization, Spatial frequencies, Visual system, Contrast sensitivity, Quality measurement, Image compression, Modulation transfer functions, Image processing, Human vision and color perception

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Proceedings Article | 3 February 2011 Paper

Image enhancement of high digital magnification for patients with central vision loss

Zhengzhou Li, Gang Luo, Eli Peli

Proceedings Volume 7865, 786516 (2011) https://doi.org/10.1117/12.872531

KEYWORDS: Image enhancement, Cameras, Head-mounted displays, Video, Visualization, Enhanced vision, Head, Image processing, Mobile devices, Image contrast enhancement

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Proceedings Article | 3 February 2011 Paper

Perceived contrast of electronically magnified video

Andrew Haun, Russell Woods, Eli Peli

Proceedings Volume 7865, 78650N (2011) https://doi.org/10.1117/12.872614

KEYWORDS: Video, Visibility, Spatial frequencies, Visualization, Signal attenuation, Contrast sensitivity, Diamond, Visual system, Spatial resolution, Electronic imaging

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Proceedings Article | 18 February 2010 Paper

Statistical analysis of subjective preferences for video enhancement

Russell Woods, PremNandhini Satgunam, P. Matthew Bronstad, Eli Peli

Proceedings Volume 7527, 75270E (2010) https://doi.org/10.1117/12.843858

KEYWORDS: Video, Binary data, Statistical analysis, Image quality, Data modeling, Image enhancement, Statistical methods, Televisions, Image quality standards, Statistical modeling

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SPIE Journal Paper | 1 January 2010 Open Access

DLP^TM-based dichoptic vision test system

Russell Woods, Henry Apfelbaum, Eliezer Peli

JBO, Vol. 15, Issue 01, 016011, (January 2010) https://doi.org/10.1117/12.10.1117/1.3292015

KEYWORDS: Eye, Camera shutters, Digital Light Processing, Visualization, Projection systems, Multiplexing, Video, Goggles, Prisms, Telescopes

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SPIE Journal Paper | 1 May 2008 Open Access

In-the-spectacle-lens telescopic device

Eliezer Peli, Fernando Vargas-Martin

JBO, Vol. 13, Issue 03, 034027, (May 2008) https://doi.org/10.1117/12.10.1117/1.2940360

KEYWORDS: Telescopes, Mirrors, Eye, Beam splitters, Objectives, Optical instrument design, Eyeglasses, Prototyping, Visualization, Off axis mirrors

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Proceedings Article | 18 September 2007 Paper

Vision multiplexing: an optical engineering concept for low-vision aids

Eli Peli

Proceedings Volume 6667, 66670C (2007) https://doi.org/10.1117/12.729315

KEYWORDS: Prisms, Multiplexing, Telescopes, Eye, Visualization, Head, Eyeglasses, Beam splitters, Visual system, Glasses

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Proceedings Article | 6 March 2007 Paper

Collision judgment when viewing minified images through a HMD visual field expander

Gang Luo, Lee Lichtenstein, Eli Peli

Proceedings Volume 6426, 64261Z (2007) https://doi.org/10.1117/12.723955

KEYWORDS: Head-mounted displays, Cameras, Eye, Visualization, Video, Virtual reality, Head, Error analysis, Signal processing, Scene simulation

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SPIE Journal Paper | 1 October 2005

Vision-model-based image foveation and motion estimation

Eli Peli, Yitzhak Yitzhaky

OE, Vol. 44, Issue 10, 107004, (October 2005) https://doi.org/10.1117/12.10.1117/1.2084667

KEYWORDS: Image registration, Visual process modeling, Visualization, Motion estimation, Image processing, Image resolution, Visual system, Spatial frequencies, Imaging systems, Systems modeling

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Proceedings Article | 18 March 2005 Paper

Walking simulator for evaluation of ophthalmic devices

James Barabas, Russell Woods, Eli Peli

Proceedings Volume 5666, (2005) https://doi.org/10.1117/12.610855

KEYWORDS: Visualization, Eye, Head, 3D modeling, Cameras, Virtual reality, Computer simulations, Information visualization, Magnetic tracking, Sensors

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SPIE Journal Paper | 1 February 2005

Registration of an on-axis see-through head-mounted display and camera system

Gang Luo, Noa Rensing, Evan Weststrate, Eli Peli

OE, Vol. 44, Issue 02, 024002, (February 2005) https://doi.org/10.1117/12.10.1117/1.1839231

KEYWORDS: Cameras, Head-mounted displays, Image registration, Imaging systems, Eye, Video, Calibration, Sensors, Image processing, Eyeglasses

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SPIE Journal Paper | 1 June 2004

MPEG-based image enhancement for the visually impaired

Jeonghoon Kim, Avni Vora, Eli Peli

OE, Vol. 43, Issue 06, (June 2004) https://doi.org/10.1117/12.10.1117/1.1723493

KEYWORDS: Image enhancement, Video, Visualization, Televisions, Image compression, Spatial frequencies, Matrices, Quantization, Video compression, Video processing

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Proceedings Article | 13 June 2002 Paper

In-the-spectacle-lens telescopic device for low vision

Eli Peli, Fernando Vargas-Martin

Proceedings Volume 4611, (2002) https://doi.org/10.1117/12.470586

KEYWORDS: Telescopes, Mirrors, Eyeglasses, Eye, Lenses, Visualization, Objectives, Optical instrument design, Head, Optical components

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Proceedings Article | 19 May 1999 Paper

Contrast sensitivity function (CSF) and image discrimination

Eli Peli

Proceedings Volume 3644, (1999) https://doi.org/10.1117/12.348478

KEYWORDS: Spatial frequencies, Computer simulations, Visual process modeling, Image processing, Contrast sensitivity, Visualization, Distance measurement, Data modeling, Solids, Video

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Proceedings Article | 12 March 1999 Paper

Multispectral image fusion for visual display

Tamar Peli, Eli Peli, Kenneth Ellis, Robert Stahl

Proceedings Volume 3719, (1999) https://doi.org/10.1117/12.341360

KEYWORDS: Image fusion, Image processing, Image filtering, Sensors, Visualization, Infrared imaging, Target detection, Image sensors, Bandpass filters, Image visualization

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Proceedings Article | 22 April 1996 Paper

Contrast of slightly complex patterns: computing the perceived contrast of Gabor patches

Eli Peli

Proceedings Volume 2657, (1996) https://doi.org/10.1117/12.238713

KEYWORDS: Image filtering, Bandpass filters, Visual process modeling, Solids, Palladium, Visual system, Eye, Medical research, Medical imaging, Image quality

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The local contrast in an image may be approximated by the contrast of a Gabor patch of varying phase and bandwidth. In a search for a metric for such local contrast, perceived (apparent) contrast, as indicated by matching of such patterns, were compared here to the physical contrast calculated by a number of methods. The 2 cycles/deg 1-octave Gabor patch stimuli of different phases were presented side by side separated by 4 degrees. During each session the subjects (n equals 5) were adapted to the average luminance, and four different contrast levels (0.1, 0.3, 0.6, and 0.8) were randomly interleaved. The task was repeated at four mean luminance levels between 0.75 and 37.5 cd/m². The subject's task was to indicate which of the two patterns was lower in contrast. Equal apparent contrast was determined by fitting a psychometric function to the data from 40 to 70 presentations. There was no effect of mean luminance on the subjects settings. The matching results rejected the hypothesis that either the Michelson formula or the King-Smith & Kulikowski contrast (C_KK equals (L_max-L_average)/L_average) was used by the subjects to set the match. The use of the Nominal contrast (the Michelson contrast of the underlying sinusoid) as an estimate of apparent contrast could not be rejected. In a second experiment the apparent contrast of a 1-octave Gabor patch was matched to the apparent contrast of a 2-octave Gabor patch (of Nominal contrast of 0.1, 0.3, 0.6, 0.8) using the method of adjustment. The result of this experiment rejected the prediction of the Nominal contrast definition. The local band limited contrast measure (Peli, 1990), when used with the modifications suggested by Lubin (1995), as an estimate of apparent contrast could not be rejected by the results of either experiment. These results suggest that a computational contrast measure based on multi scale bandpass filtering is a better estimate of apparent perceived contrast than any of the other measures tested.

Proceedings Article | 22 October 1993 Paper

Enhancement of retinal images: a critical evaluation of the technology

Eli Peli

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157943

KEYWORDS: Image enhancement, Image processing, Diagnostics, Photography, Radiology, Eye, Visibility, Image filtering, Nonlinear filtering, Angiography

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SPIE Journal Paper | 1 November 1992

Display nonlinearity in digital image processing for visual communications

Eli Peli

OE, Vol. 31, Issue 11, (November 1992) https://doi.org/10.1117/12.10.1117/12.59989

KEYWORDS: Image filtering, Digital image processing, Image processing, Image enhancement, Linear filtering, CRTs, Video, Digital imaging, Nonlinear filtering, Image compression

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SPIE Journal Paper | 1 January 1992

Perception and interpretation of high-pass filtered images

Eli Peli

OE, Vol. 31, Issue 01, (January 1992) https://doi.org/10.1117/12.10.1117/12.56036

KEYWORDS: Linear filtering, Image filtering, Visual system, Spatial frequencies, Modulation, Amplitude modulation, Reflectivity, Visual process modeling, Optical filters, Visualization

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Proceedings Article | 1 November 1991 Paper

Display nonlinearity in digital image processing for visual communications

Eli Peli

Proceedings Volume 1606, (1991) https://doi.org/10.1117/12.50332

KEYWORDS: Image processing, Image filtering, Image enhancement, CRTs, Visual communications, Video, Nonlinear filtering, Optical filters, Linear filtering, Digital image processing

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Proceedings Article | 1 February 1991 Paper

New perspectives on image enhancement for the visually impaired

Eli Peli

Proceedings Volume 1382, (1991) https://doi.org/10.1117/12.25198

KEYWORDS: Image enhancement, Visualization, Spatial frequencies, Image processing, Facial recognition systems, Eye, Video, Visual process modeling, Robots, Machine vision

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Proceedings Article | 1 September 1990 Paper

Image invariance with changes in distance: the effect of a nonuniform visual system

Eli Peli, Jian Yang, Robert Goldstein

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24122

KEYWORDS: Spatial frequencies, Data modeling, Visual system, Visualization, Image processing, Visibility, Eye, Visual communications, Retina, Video

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Invariant perception of objects is desirable. Contrast constancy assures invariant appearance of suprathreshold image features as they change their distance from the observer. Fully robust size invariance also requires equal contrast thresholds across all spatial frequencies and eccentricities so that near-threshold image features do not appear or disappear with distance changes. This clearly is not the case, since contrast thresholds increase exponentially with eccentricity. We showed that a less stringent constraint actually may be realized. Angular size and eccentricity of image features covary with distance changes. Thus the threshold requirement for invariance could be approximately satisfied if contrast thresholds were to vary as the product of spatial frequency and eccentricity from the fovea. Measurements of observers' orientation discrimination contrast thresholds fit this model well over spatial frequencies of 1 - 16 cycles/degree and for retinal eccentricities up to 23 degrees. Measurements of observers’ contrast detection thresholds from three different studies provided an even better fit to this model over even wider spatial frequency and retinal eccentricity ranges. The fitting variable, die fundamental eccentricity constant, was similar for all three studies (0.036, 0.036, 0.030, respectively). The eccentricity constant for the orientation discrimination thresholds was higher (0.048 and 0.050 for two observers, respectively). We simulated the appearance of images with a nonuniform visual system by applying the proper threshold at each eccentricity and spatial frequency. The images exhibited only small changes over a simulated 4-octave distance range. However, the change in simulated appearance over the same distance range was dramatic for patients with central visual field loss. The changes of appearance across the image as a function of eccentricity were much smaller than in previous simulations, which used data derived from visual cortex anatomy rather than direct measurements of visual function. Our model provides a new tool for analyzing the visibility of displays and for designing equal visibility or various visibility displays.