Paper
14 May 2015 Recent results in single-pixel compressive imaging using selective measurement strategies
Matthew A. Herman, Tyler Weston, Lenore McMackin, Yun Li, Jianbo Chen, Kevin F. Kelly
Author Affiliations +
Abstract
This paper reports an overview of recent results in compressive imaging and detection using a single-pixel camera. These applications use a digital micromirror device to spatially modulate the light from an observed scene using binary sensing patterns. The patterns are obtained from a special Hadamard matrix that contains blocks of rows of which each has a common local signature pattern. The blocks partition the Hadamard spectrum, thus permitting analysis of the scene in terms of these local signature patterns. In contrast, Hadamard patterns are typically described in terms of their sequency, which is a global property of each individual row. The proposed local-signature, row-block point of view can be beneficial since it permits us to adaptively select the best blocks with which to sense the signal/scene of interest, or to select the best blocks based on a priori information. As a result, in imaging applications more fine-scale detail can be extracted from the scene, and in detection applications fewer false positives can result. Note, this signature row-block partitioning is a general mathematical technique that can be applied to the Kronecker product of any two matrices, of any size. For example, in our imaging application, we extend this idea to a Hadamard matrix that is not a power of two, yet whose block-signatures possess the familiar Sylvester-Walsh power-of-two sequency patterns.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew A. Herman, Tyler Weston, Lenore McMackin, Yun Li, Jianbo Chen, and Kevin F. Kelly "Recent results in single-pixel compressive imaging using selective measurement strategies", Proc. SPIE 9484, Compressive Sensing IV, 94840A (14 May 2015); https://doi.org/10.1117/12.2180474
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Matrices

Reconstruction algorithms

Signal to noise ratio

Compressive imaging

Digital micromirror devices

Modulators

Spatial frequencies

Back to Top