His primary areas of investigation include Computer vision, Artificial intelligence, Computer graphics, Liquid-crystal display and Pixel. His work in High dynamic range, Image quality, Rendering, Luminance and Image processing is related to Computer vision. Scott J. Daly combines subjects such as Brightness and Spatial frequency with his study of Artificial intelligence.
His Computer graphics research is multidisciplinary, incorporating perspectives in Gaze, Tone scale and Display size. Scott J. Daly interconnects Tracking, Compensation and Multi-function display in the investigation of issues within Liquid-crystal display. His Pixel study incorporates themes from Enhanced Data Rates for GSM Evolution, Edge detection, Thresholding and Image noise, Noise.
Scott J. Daly mainly focuses on Artificial intelligence, Computer vision, Computer graphics, Pixel and Luminance. The various areas that he examines in his Artificial intelligence study include Brightness and Noise. His Computer vision study frequently draws connections to adjacent fields such as Liquid-crystal display.
His study in the fields of Rendering under the domain of Computer graphics overlaps with other disciplines such as Geography. The concepts of his Pixel study are interwoven with issues in Dither, Image sensor and Display resolution. His work carried out in the field of Luminance brings together such families of science as Range, Grayscale, Spatial frequency and Contrast.
His scientific interests lie mostly in Artificial intelligence, Computer vision, High dynamic range, Image quality and Luminance. His Artificial intelligence research integrates issues from Visibility, Machine learning and Dynamic range. Scott J. Daly works in the field of Computer vision, namely Pixel.
His High dynamic range research includes elements of Quantization, Computer graphics, Color depth, Quantization and Histogram. His Image quality research is multidisciplinary, incorporating elements of Lossy compression, Robustness and Lossless compression. His research integrates issues of Brightness, Range, Observer and Spatial frequency in his study of Luminance.
Scott J. Daly mainly investigates Computer vision, Artificial intelligence, High dynamic range, Luminance and Gamut. His work in the fields of Pixel overlaps with other areas such as Metadata. His work deals with themes such as Codec and Quantization, which intersect with Artificial intelligence.
His High dynamic range study combines topics in areas such as Baseband, Computer graphics and Quantization. Scott J. Daly combines subjects such as Grayscale, Transcoding and Code with his study of Luminance. The study incorporates disciplines such as Color difference, Metamerism, Color correction and Encoding in addition to Gamut.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Display adaptive tone mapping
Rafał Mantiuk;Scott Daly;Louis Kerofsky.
international conference on computer graphics and interactive techniques (2008)
Display adaptive tone mapping
Rafał Mantiuk;Scott Daly;Louis Kerofsky.
international conference on computer graphics and interactive techniques (2008)
Predicting visible differences in high dynamic range images : Model and its calibration
Rafal Mantiuk;Scott J. Daly;Karol Myszkowski;Hans-Peter Seidel.
human vision and electronic imaging conference (2005)
Predicting visible differences in high dynamic range images : Model and its calibration
Rafal Mantiuk;Scott J. Daly;Karol Myszkowski;Hans-Peter Seidel.
human vision and electronic imaging conference (2005)
Backlit display with improved dynamic range
Scott J. Daly.
(2007)
Perceptual Signal Coding for More Efficient Usage of Bit Codes
Scott Miller;Mahdi Nezamabadi;Scott Daly.
Smpte Motion Imaging Journal (2012)
Perceptual Signal Coding for More Efficient Usage of Bit Codes
Scott Miller;Mahdi Nezamabadi;Scott Daly.
Smpte Motion Imaging Journal (2012)
Engineering Observations from Spatiovelocity and Spatiotemporal Visual Models
Scott J. Daly.
human vision and electronic imaging conference (1998)
Engineering Observations from Spatiovelocity and Spatiotemporal Visual Models
Scott J. Daly.
human vision and electronic imaging conference (1998)
Methods and systems for improving display resolution in achromatic images using sub-pixel sampling and visual error filtering.
Rajesh Reddy K. Kovvuri;Scott J. Daly.
(2000)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Qualcomm (United States)
University of Cambridge
Northwestern University
Max Planck Institute for Informatics
Max Planck Institute for Informatics
École Polytechnique Fédérale de Lausanne
École Polytechnique Fédérale de Lausanne
Hong Kong University of Science and Technology
Microsoft (United States)
University of Siegen
Amazon (United States)
Karlsruhe Institute of Technology
KU Leuven
Clemson University
Catalan Institute for Water Research
Royal Institute of Technology
Imperial College London
The University of Texas at Austin
University of California, Davis
Chinese Academy of Sciences
University of Colorado Anschutz Medical Campus
Sapienza University of Rome
Indian Institute of Science
Lancaster University
Erasmus University Rotterdam
Carleton University