Time domain continuous imaging (TDCI) models scene appearance as a set of continuous waveforms, each recording how the value of an individual pixel changes over time. When a set of timestamped still images is converted into a TDCI stream, pixel value change records are created based
on when the pixel value becomes more different from the previous value than the value error model classifies as noise. Virtual exposures may then be rendered from the TDCI stream data for arbitrary time intervals by integrating the area under the pixel value waveforms. Using conventional cameras,
multispectral and high dynamic range imaging both involve combining multiple exposures; the needed variations in exposure and/or spectral filtering generally skew the time periods represented by the component exposures or compromise capture quality in other ways. This paper describes a simple
approach in which converting the image data to a TDCI representation is used to support generation of a higher-quality fusion of the separate captures.
No References for this article.
No Supplementary Data.
No Article Media
HDR (HIGH DYNAMIC RANGE) IMAGING;
TDCI (TIME DOMAIN CONTINUOUS IMAGING)
Document Type: Research Article
Publication date: January 28, 2018
More about this publication?
For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.
Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.