Image Recovery of an Infrared Sub-Imaging System Based on Compressed Sensing

Abstract

An infrared (IR) sub-imaging system is composed of an optical scanning device and a single IR detector, which provides the target location information to the servo system. Currently, further improvement of positioning accuracy and imaging quality in the traditional rosette scanning guidance mode is experiencing a bottleneck. The emergence of the compressed sensing (CS) technique provides a new solution for this problem as it can recover a high-resolution IR image including richer information with fewer sampling points. In this paper, the complementarity of the CS framework and IR rosette sub-imaging system was analyzed. A new method to improve the resolution of reconstructed IR images, multi-frame joint compressive imaging (MJCI), was proposed. The simulation results revealed the potential of the CS technique when applied to the IR sub-imaging system and demonstrated that the proposed method performed well for reconstruction.

Simulation of a tomographic single-pixel imager using rosette scanning

“…A rosette-scan pattern has also been used to sparsely sample the scene and reconstruct images using CS. [7][8][9] The image quality (for a fixed image size) for CS-based systems is associated with the number of samples taken. Since the development of high-specification DMD devices, high framerates were achievable in real-world applications.…”

Performance Estimation of a Real-Time Rosette Imager

“…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. 7 Here we design a real-time imaging device using a single detector scanning system that match the performance of focal-plane arrays.…”