Compressive sensing applications for single detector rosette scanning infrared seekers

Uzeler, Hande; Cakir, Serdar; Aytaç, Tayfun

doi:10.1117/12.2196101

Cited by 4 publications

(2 citation statements)

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“…The first experiment evaluate the optimal rosette pattern for limiting rotational frequency of 2500 Hz against three other possible patterns. The first pattern, (11,4) is a previously published pattern, although the purpose of this pattern was only to demonstrate image formation using a rosette scanner and compressed sensing. The second pattern is selected by limiting the maximum rotational frequency to 1000 Hz.…”

Section: Experimental Protocolmentioning

confidence: 99%

“…It was shown that an infrared rosette scanner with a single detector, equivalent to an infrared seeker system, can produce images offline via compressed sensing. 3 The image formation process through compressed sensing was further improved by modelling detector measurements as the sum of multiple pixels, replacing the binary orthonormal measurement matrix first used 4 . 5 Recent attempts to improve image reconstruction quality either combines multiple frames 6 or smaller image blocks.…”

Section: Introductionmentioning

confidence: 99%

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Performance Estimation of a Real-Time Rosette Imager

Stoltz¹,

Stoltz²

2020

Preprint

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In this paper, we model a real-time feasible rosette imager, consisting of a rosette scanner, an optical sensor and a deterministic image reconstruction algorithm. We fine-tune the rosette imager through selecting the appropriate sensor field of view and rosette pattern. The sensor field of view is determined through a greedy approach using uniform random sampling. Furthermore, the optimal rosette pattern is selected by determining which pattern best covers the imaging area uniformly.We explore image sparsity, image decimation and Gaussian filtering in a well-known natural data set and dead leaves data set using the PSNR, Peak-Signal-to-Noise Ratio. This exploration helps to establish a connection between PSNR and image sparsity. Furthermore, we compare various rosette imager configurations in a Bayesian framework. We also conclude that the rosette imager does not outperform a focal-plane array of equivalent samples in terms of image quality but can match the performance.

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Section: Experimental Protocolmentioning

confidence: 99%