Estimates of Temporal Edge Detection Filters in Human Vision
(2024) In ACM Transactions on Applied Perception 21(2).- Abstract
- Edge detection is an important process in human visual processing. However, as far as we know, few attempts have been made to map the temporal edge detection filters in human vision. To that end, we devised a user study and collected data from which we derived estimates of human temporal edge detection filters based on three different models, including the derivative of the infinite symmetric exponential function and temporal contrast sensitivity function. We analyze our findings using several different methods, including extending the filter to higher frequencies than were shown during the experiment. In addition, we show a proof of concept that our filter may be used in spatiotemporal image quality metrics by incorporating it into a... (More)
- Edge detection is an important process in human visual processing. However, as far as we know, few attempts have been made to map the temporal edge detection filters in human vision. To that end, we devised a user study and collected data from which we derived estimates of human temporal edge detection filters based on three different models, including the derivative of the infinite symmetric exponential function and temporal contrast sensitivity function. We analyze our findings using several different methods, including extending the filter to higher frequencies than were shown during the experiment. In addition, we show a proof of concept that our filter may be used in spatiotemporal image quality metrics by incorporating it into a flicker detection pipeline. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/b29332e9-8a4c-4392-8d5a-2949937eb450
- author
- Ebelin, Pontus LU ; Denes, Gyorgy ; Akenine-Möller, Tomas LU ; Åström, Kalle LU ; Oskarsson, Magnus LU and McIlhagga, William H.
- organization
-
- Computer Vision and Machine Learning (research group)
- LU Profile Area: Nature-based future solutions
- LU Profile Area: Light and Materials
- LU Profile Area: Proactive Ageing
- LU Profile Area: Natural and Artificial Cognition
- LTH Profile Area: AI and Digitalization
- LTH Profile Area: Engineering Health
- Stroke Imaging Research group (research group)
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
- Mathematical Imaging Group (research group)
- Mathematics (Faculty of Engineering)
- Centre for Mathematical Sciences
- publishing date
- 2024-01-30
- type
- Contribution to journal
- publication status
- published
- subject
- in
- ACM Transactions on Applied Perception
- volume
- 21
- issue
- 2
- article number
- 7
- pages
- 25 pages
- publisher
- Association for Computing Machinery (ACM)
- external identifiers
-
- scopus:85189678144
- ISSN
- 1544-3558
- DOI
- 10.1145/3639052
- project
- Evaluating and Improving Rendered Visual Experiences
- WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
- language
- English
- LU publication?
- yes
- id
- b29332e9-8a4c-4392-8d5a-2949937eb450
- date added to LUP
- 2024-02-05 09:11:28
- date last changed
- 2024-04-23 14:54:03
@article{b29332e9-8a4c-4392-8d5a-2949937eb450, abstract = {{Edge detection is an important process in human visual processing. However, as far as we know, few attempts have been made to map the temporal edge detection filters in human vision. To that end, we devised a user study and collected data from which we derived estimates of human temporal edge detection filters based on three different models, including the derivative of the infinite symmetric exponential function and temporal contrast sensitivity function. We analyze our findings using several different methods, including extending the filter to higher frequencies than were shown during the experiment. In addition, we show a proof of concept that our filter may be used in spatiotemporal image quality metrics by incorporating it into a flicker detection pipeline.}}, author = {{Ebelin, Pontus and Denes, Gyorgy and Akenine-Möller, Tomas and Åström, Kalle and Oskarsson, Magnus and McIlhagga, William H.}}, issn = {{1544-3558}}, language = {{eng}}, month = {{01}}, number = {{2}}, publisher = {{Association for Computing Machinery (ACM)}}, series = {{ACM Transactions on Applied Perception}}, title = {{Estimates of Temporal Edge Detection Filters in Human Vision}}, url = {{http://dx.doi.org/10.1145/3639052}}, doi = {{10.1145/3639052}}, volume = {{21}}, year = {{2024}}, }