8 citations · 12 across the 7 of their papers we have counts for
8 papers
Spectral DiffuserScope: a compact snapshot hyperspectral microscope
Neerja Aggarwal, Eric Markley, Kyung Chul Lee +12
Hyperspectral fluorescence microscopy enables important biological and clinical applications, but conventional systems are bulky or require scanning, limiting temporal resolution a…
ConvRML: high-quality lensless imaging with random multi-focal lenslets
Leyla A. Kabuli, Clara S. Hung, Vasilisa Ponomarenko +2
Mask-based lensless imagers use simple optics and computational reconstruction to design compact form factor cameras with compressive imaging ability. However, these imagers genera…
Computationally Efficient Information-Driven Optical Design with Interchanging Optimization
Eric Markley, Henry Pinkard, Leyla Kabuli +2
Recent work has demonstrated that imaging systems can be evaluated through the information content of their measurements alone, enabling application-agnostic optical design that av…
Designing lensless imaging systems to maximize information capture
Leyla A. Kabuli, Henry Pinkard, Eric Markley +2
Mask-based lensless imaging uses an optical encoder (e.g. a phase or amplitude mask) to capture measurements, then a computational decoding algorithm to reconstruct images. In this…
Information-driven design of imaging systems
Henry Pinkard, Leyla Kabuli, Eric Markley +3
Imaging systems have traditionally been designed to mimic the human eye and produce visually interpretable measurements. Modern imaging systems, however, process raw measurements c…
Simultaneous Color Computer Generated Holography
Eric Markley, Nathan Matsuda, Florian Schiffers +2
Computer generated holography has long been touted as the future of augmented and virtual reality (AR/VR) displays, but has yet to be realized in practice. Previous high-quality, c…
Memory-efficient Learning for Large-scale Computational Imaging
Michael Kellman, Kevin Zhang, Jon Tamir +3
Critical aspects of computational imaging systems, such as experimental design and image priors, can be optimized through deep networks formed by the unrolled iterations of classic…
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop
Michael Kellman, Jon Tamir, Emrah Boston +2
Computational imaging systems jointly design computation and hardware to retrieve information which is not traditionally accessible with standard imaging systems. Recently, critica…