Dr. Scott J. Daly Profile

Dr. Scott J. Daly

Senior Staff at Dolby Labs.

SPIE Involvement:

Conference Program Committee | Conference Chair | Author | Editor

Publications (37)

SPIE Journal Paper | October 11, 2018

Perspectives on the definition of visually lossless quality for mobile and large format displays

Robert Allison, Kjell Brunnström, Damon Chandler, Hannah Colett, Philip Corriveau, Scott Daly, James Goel, Juliana Long, Laurie Wilcox, Yusizwan Yaacob, Shun-nan Yang, Yi Zhang

JEI Vol. 27 Issue 05

KEYWORDS: Visualization, Image compression, Image quality, Video, Visual compression, Eye, Image processing, LCDs, High dynamic range imaging, Image quality standards

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PROCEEDINGS ARTICLE | September 19, 2017

Prediction of HDR quality by combining perceptually transformed display measurements with machine learning

Proc. SPIE. 10396, Applications of Digital Image Processing XL

KEYWORDS: Displays, Visual process modeling, Visualization, Quality measurement, High dynamic range imaging, Machine learning, Human vision and color perception, Multimedia

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PROCEEDINGS ARTICLE | March 17, 2015

Use of a local cone model to predict essential CSF light adaptation behavior used in the design of luminance quantization nonlinearities

Proc. SPIE. 9394, Human Vision and Electronic Imaging XX

KEYWORDS: Visual process modeling, Curium, Data modeling, Visualization, Spatial frequencies, Quantization, Visual system, High dynamic range imaging, Psychophysics, Cones

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PROCEEDINGS ARTICLE | February 3, 2014

Color signal encoding for high dynamic range and wide color gamut based on human perception

Proc. SPIE. 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications

KEYWORDS: Visualization, Microchannel plates, Error analysis, Computer programming, Computer simulations, Colorimetry, Quantization, Color difference, High dynamic range imaging, RGB color model

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PROCEEDINGS ARTICLE | March 14, 2013

Preference limits of the visual dynamic range for ultra high quality and aesthetic conveyance

Proc. SPIE. 8651, Human Vision and Electronic Imaging XVIII

KEYWORDS: Optical transfer functions, Modulation, Visualization, Calibration, Image processing, Reflectivity, LCDs, Image filtering, High dynamic range imaging, Display technology

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PROCEEDINGS ARTICLE | February 11, 2011

3D video disparity scaling for preference and prevention of discomfort

Proc. SPIE. 7863, Stereoscopic Displays and Applications XXII

KEYWORDS: Visual process modeling, Detection and tracking algorithms, Visualization, Video, 3D modeling, LCDs, Signal processing, 3D displays, Stereoscopic displays, 3D vision

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PROCEEDINGS ARTICLE | February 3, 2011

Preferences for the balance between true image detail and noise

Proc. SPIE. 7865, Human Vision and Electronic Imaging XVI

KEYWORDS: Image compression, Visualization, Video, Denoising, Linear filtering, Numerical analysis, Software development, Image filtering, Nonlinear filtering, Electronic imaging

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PROCEEDINGS ARTICLE | February 18, 2010

Effects of stimulus size and velocity on steady-state smooth pursuit induced by realistic images

Proc. SPIE. 7527, Human Vision and Electronic Imaging XV

KEYWORDS: Mirrors, Eye, Visualization, Calibration, Retina, Error analysis, Photography, Head, LCDs, Electronic imaging

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PROCEEDINGS ARTICLE | February 18, 2010

The luminance of pure black: exploring the effect of surround in the context of electronic displays

Proc. SPIE. 7527, Human Vision and Electronic Imaging XV

KEYWORDS: Eye, Modulation, Visualization, Light scattering, Reflectivity, Image quality, LCDs, High dynamic range imaging, CRTs, Reflective displays

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PROCEEDINGS ARTICLE | February 18, 2010

Synchronization mismatch: vernier acuity and perception evaluation for large ultra high resolution tiled displays

Proc. SPIE. 7527, Human Vision and Electronic Imaging XV

KEYWORDS: Displays, Visualization, Cameras, Video, Computing systems, Image resolution, LCDs, Visual system, Optical resolution, Video processing

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PROCEEDINGS ARTICLE | February 10, 2009

Measuring hand, head, and vehicle motions in commuting environments

Proc. SPIE. 7240, Human Vision and Electronic Imaging XIV

KEYWORDS: Mobile devices, Eye, Statistical analysis, Visualization, Sensors, Head, Data processing, Algorithm development, Motion measurement, Environmental sensing

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PROCEEDINGS ARTICLE | February 10, 2009

Application of a visual model to the design of an ultra-high definition upscaler

Proc. SPIE. 7240, Human Vision and Electronic Imaging XIV

KEYWORDS: Monochromatic aberrations, Optical transfer functions, Visual process modeling, Data modeling, Visualization, Image quality, Bismuth, Modulation transfer functions, Algorithm development, RGB color model

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PROCEEDINGS ARTICLE | January 19, 2009

Sub-pixel-based MVA LCTV characterization and color modeling

Proc. SPIE. 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications

KEYWORDS: Data modeling, Modulation, Distortion, 3D modeling, LCDs, Color difference, Liquid crystals, Photomicroscopy, Process modeling, RGB color model

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PROCEEDINGS ARTICLE | February 12, 2007

Tone mapping for high-dynamic range displays

Proc. SPIE. 6492, Human Vision and Electronic Imaging XII

KEYWORDS: Image processing algorithms and systems, Light emitting diodes, Image segmentation, Linear filtering, LCDs, Image filtering, High dynamic range imaging, Associative arrays, Binary data, RGB color model

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SPIE Conference Volume | February 7, 2007

Human Vision and Electronic Imaging XII

PROCEEDINGS ARTICLE | February 3, 2006

Spatio-velocity CSF as a function of retinal velocity using unstabilized stimuli

Proc. SPIE. 6057, Human Vision and Electronic Imaging XI

KEYWORDS: Eye, Visual process modeling, Data modeling, Modulation, Spatial frequencies, Retina, Contrast sensitivity, CRTs, Motion models, Eye models

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SPIE Conference Volume | February 2, 2006

Human Vision and Electronic Imaging XI

SPIE Conference Volume | March 18, 2005

Human Vision and Electronic Imaging X

PROCEEDINGS ARTICLE | March 18, 2005

Predicting visible differences in high dynamic range images: model and its calibration

Proc. SPIE. 5666, Human Vision and Electronic Imaging X

KEYWORDS: Optical transfer functions, Eye, Visualization, Calibration, Light scattering, LCDs, Image filtering, High dynamic range imaging, Contrast sensitivity, Nonlinear filtering

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PROCEEDINGS ARTICLE | March 1, 2005

Analysis of the sigma filter using robust estimation

Proc. SPIE. 5672, Image Processing: Algorithms and Systems IV

KEYWORDS: Statistical analysis, Anisotropic filtering, Image processing, Digital filtering, Control systems, Gaussian filters, Image filtering, Nonlinear filtering, Optimization (mathematics), Anisotropic diffusion

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PROCEEDINGS ARTICLE | January 17, 2005

Improving color characteristics of LCD

Proc. SPIE. 5667, Color Imaging X: Processing, Hardcopy, and Applications

KEYWORDS: Calibration, Electrodes, Capacitance, LCDs, Liquid crystals, CRTs, Algorithm development, Photomicroscopy, Color imaging, RGB color model

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PROCEEDINGS ARTICLE | June 7, 2004

Decontouring: prevention and removal of false contour artifacts

Proc. SPIE. 5292, Human Vision and Electronic Imaging IX

KEYWORDS: Visual process modeling, Visualization, Spatial frequencies, LCDs, Quantization, Image filtering, Visual system, Electronic filtering, Visibility, RGB color model

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PROCEEDINGS ARTICLE | June 17, 2003

Sampling of post-Riley visual artists surreptitiously probing perception

Proc. SPIE. 5007, Human Vision and Electronic Imaging VIII

KEYWORDS: Eye, Optical spheres, Visualization, Sensors, Video, Particles, Photography, 3D modeling, Colorimetry, Electronic imaging

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Attending any conference on visual perception undoubtedly leaves one exposed to the work of Salvador Dali, whose extended phase of work exploring what he dubbed, “the paranoiac-critical method” is very popular as examples of multiple perceptions from conflicting input. While all visual art is intertwined with perceptual science, from convincing three-dimensional illusion during the Renaissance to the isolated visual illusions of Bridget Riley’s Op-Art, direct statements about perception are rarely uttered by the artists in recent times. However, there are still a number of artists working today whose work contains perceptual questions and exemplars that can be of interest to vision scientists and imaging engineers. This talk will start sampling from Op-Art, which is most directly related to psychophysical test stimuli and then will discuss “perceptual installations” from artists such as James Turrell’s, whose focus is often directly on natural light, with no distortions imposed by any capture or display apparatus. His work generally involves installations that use daylight and focus the viewer on its nuanced qualities, such as umbra, air particle interactions, and effects of light adaptation. He is one of the last artists to actively discuss perception. Next we discuss minimal art and electronic art, with video artist Nam June Paik discussing the “intentionally boring” art of minimalism. Another artist using installations is Sandy Skoglund, who creates environments of constant spectral albedo, with the exception of her human occupants. Tom Shannon also uses installations as his media to delve into 3D aspects of depth and perspective, but in an atomized fashion. Beginning with installation concepts, Calvin Collum then adds the restrictive viewpoint of photography to create initially confusing images where the pictorial content and depth features are independent (analogous to the work of Patrick Hughes). Andy Goldsworthy also combines photography with concepts of physical object manipulation inherent in installation, but takes the “installation” out of the gallery into the outdoor natural world. In doing so, he highlights perceptual interactions of scene spectra, color induction, and color constancy. The sculptor Shigeo Fukuda creates intentionally designed multiple-view sculptures, where the perceived subject matter of the sculpture changes with viewing angle. Lastly, Doug Aitken explores the interaction of the functional and emotional aspects of vision.

PROCEEDINGS ARTICLE | January 13, 2003

Bit-depth extension using spatiotemporal microdither based on models of the equivalent input noise of the visual system

Proc. SPIE. 5008, Color Imaging VIII: Processing, Hardcopy, and Applications

KEYWORDS: Signal to noise ratio, Visual process modeling, Modulation, Visualization, Spatial frequencies, Ultraviolet radiation, LCDs, Quantization, Visual system, RGB color model

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Continuous tone, or “contone”, imagery usually has 24 bits/pixel as a minimum, with eight bits each for the three primaries in typical displays. However, lower-cost displays constrain this number because of various system limitations. Conversely, high quality displays seek to achieve 9-10 bits/pixel/color, though there may be system bottlenecks limited at 8. The two main artifacts from reduced bit-depth are contouring and loss of amplitude detail; these can be prevented by dithering the image prior to these bit-depth losses. Early work in this area includes Roberts’ noise modulation technique, Mista’s blue noise mask, Tyler’s technique of bit-stealing, and Mulligan’s use of the visual system’s spatiotemporal properties for spatiotemporal dithering. However, most halftoning/dithering work was primarily directed to displays at the lower end of bits/pixel (e.g., 1 bit as in halftoning) and higher ppi. Like Tyler, we approach the problem from the higher end of bits/pixel/color, say 6-8, and use available high frequency color content to generate even higher luminance amplitude resolution. Bit-depth extension with a high starting bit-depth (and often lower spatial resolution) changes the game substantially from halftoning experience. For example, complex algorithms like error diffusion and annealing are not needed, just the simple addition of noise. Instead of a spatial dither, it is better to use an amplitude dither, termed <i>microdither</i> by Pappas. We have looked at methods of generating the highest invisible opponent color spatiotemporal noise and other patterns, and have used Ahumada’s concept of equivalent input noise to guide our work. This paper will report on techniques and observations made in achieving contone quality on ~100 ppi 6 bits/pixel/color LCD displays with no visible dither patterns, noise, contours, or loss of amplitude detail at viewing distances as close as the near focus limit (~120 mm). These include the interaction of display nonlinearities and their role of generating a low-spatial frequency flicker from mutually high-pass spatial and temporal noise, as well as the temporal response symmetries.

PROCEEDINGS ARTICLE | May 30, 2002

Practical applications that require some of the more advanced features of current visual models

Proc. SPIE. 4662, Human Vision and Electronic Imaging VII

KEYWORDS: Visual process modeling, Fluctuations and noise, Data modeling, Visualization, Image quality, Image filtering, Image scaling, Signal detection, Visibility, RGB color model

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SPIE Journal Paper | January 1, 2001

As plain as the noise on your face: Adaptive video compression using face detection and visual eccentricity models

Scott Daly, Kristine Matthews, Jordi Ribas-Corbera

JEI Vol. 10 Issue 01

KEYWORDS: Visualization, Quantization, Visual process modeling, Image quality, Linear filtering, Eye, Computer programming, Video, Visual compression, Image resolution

PROCEEDINGS ARTICLE | June 2, 2000

Vision-based strategy to improve the color misregistration of image capturing devices

Proc. SPIE. 3959, Human Vision and Electronic Imaging V

KEYWORDS: Visual process modeling, Visualization, Imaging systems, Sensors, Scanners, Printing, Visual system, Modulation transfer functions, CCD image sensors, RGB color model

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PROCEEDINGS ARTICLE | April 19, 2000

Visual masking in wavelet compression for JPEG-2000

Proc. SPIE. 3974, Image and Video Communications and Processing 2000

KEYWORDS: Image compression, Visualization, Wavelets, Computer programming, JPEG2000, Image quality, Transducers, Quantization, Visual system, Visual compression

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PROCEEDINGS ARTICLE | May 19, 1999

Visual eccentricity models in face-based video compression

Proc. SPIE. 3644, Human Vision and Electronic Imaging IV

KEYWORDS: Eye, Visual process modeling, Visualization, Linear filtering, Computer programming, Image quality, Quantization, Visual system, Eye models, Visual compression

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PROCEEDINGS ARTICLE | July 17, 1998

Engineering observations from spatiovelocity and spatiotemporal visual models

Proc. SPIE. 3299, Human Vision and Electronic Imaging III

KEYWORDS: Eye, Visual process modeling, Data modeling, Visualization, Spatial frequencies, Video, Image quality, Visual system, Chlorine, Eye models

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PROCEEDINGS ARTICLE | April 16, 1997

Visual optimization of radiographic tone scale

Proc. SPIE. 3036, Medical Imaging 1997: Image Perception

KEYWORDS: Visual process modeling, Visualization, X-rays, Radiography, Diagnostics, Image quality, Image transmission, X-ray imaging, Systems modeling, Visibility

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PROCEEDINGS ARTICLE | April 27, 1995

Comparative study of wavelet and discrete cosine transform (DCT) decompositions with equivalent quantization and encoding strategies for medical images

Proc. SPIE. 2431, Medical Imaging 1995: Image Display

KEYWORDS: Wavelet transforms, Image compression, Visual process modeling, Visualization, Spatial frequencies, Wavelets, Computer programming, Medical imaging, Quantization, Visual system

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PROCEEDINGS ARTICLE | April 27, 1995

Display of medical images on CRT soft-copy displays: a tutorial

Proc. SPIE. 2431, Medical Imaging 1995: Image Display

KEYWORDS: Target detection, Chest, Data modeling, Modulation, Visualization, Medical imaging, Light sources and illumination, Visual system, CRTs, Radiology

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PROCEEDINGS ARTICLE | June 30, 1993

Presentation of medical images on CRT displays: a renewed proposal for a display function standard

Proc. SPIE. 1897, Medical Imaging 1993: Image Capture, Formatting, and Display

KEYWORDS: Displays, Eye, Data modeling, Modulation, Spatial frequencies, Medical imaging, Contrast sensitivity, CRTs, Standards development, Image quality standards

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PROCEEDINGS ARTICLE | August 27, 1992

Visible differences predictor: an algorithm for the assessment of image fidelity

Proc. SPIE. 1666, Human Vision, Visual Processing, and Digital Display III

KEYWORDS: Visual process modeling, Visualization, Imaging systems, Spatial frequencies, Distortion, Image quality, Image filtering, Visual system, Human vision and color perception, Signal detection

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SPIE Journal Paper | August 1, 1990

Application of a noise-adaptive contrast sensitivity function to image data compression

Scott Daly

OE Vol. 29 Issue 08

KEYWORDS: Image compression, Visualization, Visual process modeling, Quantization, Signal to noise ratio, Interference (communication), Visual system, Contrast sensitivity, Spatial frequencies, Image processing

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PROCEEDINGS ARTICLE | August 1, 1990

Modulator-induced streaking artifact in laser film printer images

Proc. SPIE. 1254, Optical Hard Copy and Printing Systems

KEYWORDS: Modulators, Printing, Nonimpact printing

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Showing 5 of 37 publications

Conference Committee Involvement (20)

Color Imaging XX: Displaying, Processing, Hardcopy, and Applications

9 February 2015 | San Francisco, California, United States

Human Vision and Electronic Imaging XX

9 February 2015 | San Francisco, California, United States

Human Vision and Electronic Imaging XIX

3 February 2014 | San Francisco, California, United States

Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications

3 February 2014 | San Francisco, California, United States

Color Imaging XVIII: Displaying, Processing, Hardcopy, and Applications

4 February 2013 | Burlingame, California, United States

Showing 5 of 20 published special sections

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