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.

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Published in Proceedings of SPIE, v. 9410, Visual Information Processing and Communication VI, article 94100R, p. 1-10.

Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Henry G. Dietz "Frameless representation and manipulation of image data", Proceedings of SPIE, 9410, Visual Information Processing and Communication VI, 94100R (March 4, 2015).


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