Compressive Sampling Approach for Image Acquisition with Lensless Endoscope
(2018) international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques — Location: CIRM, Marseille, France (21.November.2018)
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- Abstract
- The lensless endoscope is a promising device designed to image tissues in vivo at the cellular scale. The traditional acquisition setup consists in raster scanning during which the focused light beam from the optical fiber illuminates sequentially each pixel of the field of view (FOV). The calibration step to focus the beam and the sampling scheme both take time. In this preliminary work, we propose a scanning method based on compressive sampling theory. The method does not rely on a focused beam but rather on the random illumination patterns generated by the single-mode fibers. Experiments are performed on synthetic data for different compression rates (from 10 to 100% of the FOV).
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Citations
Guérit, S., Sivankutty, S., Scotté, C., Lee, J., Rigneault, H., & Jacques, L. (2018). Compressive Sampling Approach for Image Acquisition with Lensless Endoscope. Proceedings of iTWIST′18, 5 (2018). https://hdl.handle.net/2078.5/253499 (Original work published 2018)