Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. Single pixel camera architecture. 16 Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. (a) Rosette scanning pattern and (b) the illustration of TFOV and IFOV. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. Rosette scanning system architecture. 24 Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. Rosette scanning patterns which take (a) 1588 samples, (b) 2532 samples, and (c) 4082 samples. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. (a) The test image, (b) the rosette scanning pattern, (c) the IFOV region, and (d) the samples obtained from the test image for the given IFOV location. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. (a) The IFOV pixel values and (b) histogram of values between zero and one. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. The test images (top rows) and images reconstructed with the rosette scanning pattern (bottom rows), for (a) a high contrast scenario, (b) a low contrast scenario, and (c) a scenario with background clutter; for different target sizes and target locations within the FOV in each scenario. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. Reconstruction performance with respect to target’s size and target’s distance for the synthetic IR image dataset. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. Reconstruction performance with respect to target’s size and target’s distance for the dataset captured with an IR camera. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. The synthetic test images (top row) and reconstructed images for the rosette scanning pattern, random Bernoulli, and random Gaussian measurement matrices, from top to bottom respectively, with and without flares. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. The nonsynthetic test images (top row) and reconstructed images for the rosette scanning pattern, random Bernoulli, and random Gaussian measurement matrices, from top to bottom, respectively. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE

Date of download: 6/24/2016 Copyright © 2016 SPIE. All rights reserved. The reconstructed images for the rosette scanning pattern, random Bernoulli, and random Gaussian measurement matrices, from top to bottom, respectively, for (a) 1588 samples, (b) 2532 samples, and (c) 4082 samples. Figure Legend: From: Image reconstruction for single detector rosette scanning systems based on compressive sensing theory Opt. Eng. 2016;55(2): doi: /1.OE