Most image sensors mimic film, integrating light during an exposure interval and then reading the "latent" image as a complete frame. In contrast, frameless image capture attempts to construct a continuous waveform for each sensel describing how the Ev (exposure value required at each pixel) changes over time. This allows great flexibility in computationally extracting frames after exposure. An overview of how this could be accomplished was presented at EI2014, with an emphasis on frameless sensor technology. In contrast, the current work centers on deriving frameless data from sequences of conventionally captured frames.
Digital Object Identifier (DOI)
Dietz, Henry G., "Frameless Representation and Manipulation of Image Data" (2015). Electrical and Computer Engineering Faculty Publications. 7.