T
Ting Sun
Researcher at Rice University
Publications - 19
Citations - 3705
Ting Sun is an academic researcher from Rice University. The author has contributed to research in topics: Hyperspectral imaging & Raster scan. The author has an hindex of 8, co-authored 17 publications receiving 3278 citations. Previous affiliations of Ting Sun include Ricoh.
Papers
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Journal ArticleDOI
Single-Pixel Imaging via Compressive Sampling
Marco F. Duarte,Mark A. Davenport,Dharmpal Takhar,Jason N. Laska,Ting Sun,Kevin F. Kelly,Richard G. Baraniuk +6 more
TL;DR: A new camera architecture based on a digital micromirror device with the new mathematical theory and algorithms of compressive sampling is presented that can operate efficiently across a broader spectral range than conventional silicon-based cameras.
Journal ArticleDOI
A Compressive Sensing and Unmixing Scheme for Hyperspectral Data Processing
TL;DR: Experimental and computational evidences obtained from this paper indicate that the proposed scheme for hyperspectral data compression and reconstruction has a high potential in real-world applications.
Proceedings ArticleDOI
Compressive Sensing Hyperspectral Imager
Ting Sun,Kevin F. Kelly +1 more
TL;DR: In this paper, data acquisition and compression are realized simultaneously, which greatly decreases the measurement time and storage volume while increasing the signal fidelity, and compared with its raster scan counterpart.
Journal ArticleDOI
Sum frequency generation-compressive sensing microscope.
TL;DR: The results demonstrate the CS technique achieved 16 times the pixel density beyond the resolution where the raster scan strategy lost its ability to image the sample due to the dilution of the SF signal below the detection limit of the detector.
Patent
Apparatus And Method For Compressive Imaging And Sensing Through Multiplexed Modulation
TL;DR: In this paper, a compressive imaging apparatus employing multiple modulators in various optical schemes to generate the modulation patterns before the signal is recorded at a detector is presented, where the placement is shifted from the acquisition path between the subject and the detector into the illumination path to be imaged.