Abstract
A Fourier single-pixel imaging technique based on lateral inhibition is proposed to improve the reconstruction contrast and quality for low-contrast scenes. The mathematical models are developed, and corresponding simulations and experiments are conducted to verify and evaluate the features. Results show that this strategy strengthens the image contrast and structural similarity index mainly under low sampling ratios compared with the traditional Fourier single-pixel imaging. It offers an optional solution for various Fourier single-pixel imaging applications at low sampling ratios for low-contrast scenes.
Highlights
Single-pixel imaging (SPI) reconstructs target information by correlating pre-defined patterns projected onto the scene with back-scattered intensity captured by a photodiode
Combing the SSIM values of the simulations and experiments, the proposed LI-Fourier single-pixel imaging (FSI) lags behind FSI under high sampling ratios. This is because that Fourier illumination patterns based on lateral inhibition adopted by LI-FSI emphasize the sampling of image-edges and down sample the neighbor pixels around image-edges, which will lead the sampling loss of the details except image-edges to some extent
The traditional Fourier illumination patterns are replaced by the Fourier illumination patterns based on lateral inhibition for target scanning, which takes the advantage of image contrast and quality enhancement using lateral inhibition
Summary
Single-pixel imaging (SPI) reconstructs target information by correlating pre-defined patterns projected onto the scene with back-scattered intensity captured by a photodiode. It will simultaneously amplify noises while accentuating the intensity gradients of image-edges and contours It means that if the lateral inhibition model is directly used for the enhancement of low-contrast image reconstructed by SPI, the noises and contours of the reconstruction results will be enhanced. It provides a possibility that if the scene based lateral inhibition model is combined with the projected pre-defined patterns, it will only emphasize the sampling of image-edges and enhance contrast. The reconstructed results by the sampled coefficients of Fourier single-pixel imaging (FSI) can provide the scene images as input for the lateral inhibition model with imaging. To improve the image quality of FSI for low-contrast scenes, we propose a Fourier single-pixel imaging technique based on lateral inhibition (LI-FSI), and develop its models to explain its working principle. Several simulations and experiments are conducted to evaluate the features and performance of our proposed method for low-contrast scenes
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
