Integrating dynamic and distributed compressive sensing techniques to enhance image quality of the compressive line sensing system for unmanned aerial vehicles application

Ouyang, Bing; Hou, Weilin; Caimi, Frank M.; Dalgleish, Fraser; Vuorenkoski, Anni K.; Gong, Cuiling

doi:10.1117/1.jrs.11.032407

Cited by 10 publications

(2 citation statements)

References 17 publications

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“…Pastuszczak et al's binary representation of discrete noiselets [4], a family of functions first described by Coifman et al in [5], which have fast O(n log n) transforms, is ideal for DMD CS imaging (Figure 2). Furthermore, in the reconstruction process we exploit correlations between adjacent columns to recover 2D structure, similar to the process used in [6,7]. The pushframe architecture elaborated by Noblet et al [1], can simultaneously capture intrinsically coregistered images in multiple wavelengths, by the use of beamsplitting, diffraction of the integrated light on to an area sensor, or a color (Bayer filtered) camera.…”

Section: Methodsmentioning

confidence: 99%

Compressive Sampling Using a Pushframe Camera

Bennett¹,

Noblet²,

Griffin³

et al. 2021

IEEE Trans. Comput. Imaging

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Section: Methodsmentioning

confidence: 99%

Compressive Sampling Using a Pushframe Camera

Bennett¹,

Noblet²,

Griffin³

et al. 2021

IEEE Trans. Comput. Imaging

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“…Their sensing matrix models 2D blocks of recorded lines as featuring a common component with per-line unique components, and applies random per-line masks. Later work from the same group ( [14]) augments their previous approach to 2D reconstruction by integrating a Bayesian inference concept.…”

Section: Introductionmentioning

confidence: 99%

Compressive Sampling Using a Pushframe Camera

Bennett¹,

Noblet²,

Griffin³

et al. 2021

Preprint

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The recently described pushframe imager, a parallelized single pixel camera capturing with a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive sampling. It optically applies a 2D mask to the imaged scene, before performing light integration along a single spatial axis, but previous work has not made use of the architecture's potential for taking measurements sparsely. In this paper we develop a strongly performing static binarized noiselet compressive sampling mask design, tailored to pushframe hardware, allowing both a single exposure per motion time-step, and retention of 2D correlations in the scene. Results from simulated and real-world captures are presented, with performance shown to be similar to that of immobile -and hence inappropriate for satellite use -wholescene imagers. A particular feature of our sampling approach is that the degree of compression can be varied without altering the pattern, and we demonstrate the utility of this for efficiently storing and transmitting multi-spectral images.Index Terms-Compressive sampling, pushframe imaging, columnar block compressed sensing (BCS), parallel single pixel camera (SPC).

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Chaos and compressive sensing based novel image encryption scheme

Khan

Kayhan

2021

Journal of Information Security and Applications

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Integrating dynamic and distributed compressive sensing techniques to enhance image quality of the compressive line sensing system for unmanned aerial vehicles application

Cited by 10 publications

References 17 publications

Compressive Sampling Using a Pushframe Camera

Compressive Sampling Using a Pushframe Camera

Compressive Sampling Using a Pushframe Camera

Chaos and compressive sensing based novel image encryption scheme

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