High dynamic range compressive imaging: a programmable imaging system

Abolbashari, Mehrdad; Magalhães, Filipe; Araújo, F. M.; Correia, Miguel Velhote; Farahi, Faramarz

doi:10.1117/1.oe.51.7.071407

Cited by 16 publications

(6 citation statements)

References 37 publications

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“…Research interest is now focusing on the motion problems associated with foreground targets and compressive imaging systems. [14][15][16][17] Tong Q. et al reconstructed an image in the infrared (IR) rosette scanning system by analyzing the relationship between the target image and the scene in each frame. 15 Jiao S. et al solved the problem of dynamic compressive sampling using prior knowledge of the target motion type and the ultrafast structured illumination.…”

Section: Introductionmentioning

confidence: 99%

Modeling and image quality enhancement for dynamic compressive imaging system

Zha

Zhang

Duan

2021

Journal of Algorithms & Computational Technology

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Traditional single-pixel imaging systems are aimed mainly at relatively static or slowly changing targets. When there is relative motion between the imaging system and the target, sizable deviations between the measurement values and the real values can occur and result in poor image quality of the reconstructed target. To solve this problem, a novel dynamic compressive imaging system is proposed. In this system, a single-column digital micro-mirror device is used to modulate the target image, and the compressive measurement values are obtained for each column of the image. Based on analysis of the measurement values, a new recovery model of dynamic compressive imaging is given. Differing from traditional reconstruction results, the measurement values of any column of vectors in the target image can be used to reconstruct the vectors of two adjacent columns at the same time. Contingent upon characteristics of the results, a method of image quality enhancement based on an overlapping average algorithm is proposed. Simulation experiments and analysis show that the proposed dynamic compressive imaging can effectively reconstruct the target image; and that when the moving speed of the system changes within a certain range, the system reconstructs a better original image. The system overcomes the impact of dynamically changing speeds, and affords significantly better performance than traditional compressive imaging.

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Section: Introductionmentioning

confidence: 99%

Modeling and image quality enhancement for dynamic compressive imaging system

Zha

Zhang

Duan

2021

Journal of Algorithms & Computational Technology

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“…Different studies have faced the problem of the application of CS to spectroscopic measurements and in particular to hyperspectral imaging [8][9][10][11][12] . Results coming from these studies have shown some advantages, but also several problems related to the use of CS in this field, such as the availability of large-size, high speed modulators.…”

Section: State Of the Art Of Cs Instrumentsmentioning

confidence: 99%

Optical compressive sensing technologies for space applications: instrumental concepts and performance analysis

Guzzi

Coluccia

Labate³

et al. 2019

International Conference on Space Optics — ICSO 2018

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This paper presents the results of a study aimed at investigating the potential of Compressive Sensing (CS) technologies for optical space instruments. Besides assessing the pros and cons for a wide set of proposed instrumental concepts for space applications, the study analyzed in further detail two CS-based instrument concepts, each targeting a specific application: an UV-VIS hyperspectral imager on orbiter for stellar spectro-photometry and a MIR camera for sky observation and real-time detection of Near Earth Objects (NEO). The proposed UV-VIS hyperspectral imager relies on a classical CS approach and addresses the CS reconstruction of the full image in order to implement slitless spectrophotometry of stars. The CS-based MIR camera for NEO detection instead explores a novel approach aiming at information extraction without a prior full reconstruction of the image. Besides outlining the optical design of the instruments, its key elements and a pros and cons analysis of the architecture, this paper presents the performance assessment of these instruments for typical application scenarios by means of simulated data. The results showed that, from the point of view of data reconstruction quality, a good performance can be achieved by the designed instruments in terms of compression ratio (CR) and image reconstruction. In terms of system budgets, the CS architecture offered only some marginal benefits with respect to their traditional counterparts, mainly due to the lack of a compression board. Most advantages are instead provided in terms of downlink requirements and memory buffer.

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“…Closed hardware solutions exist too, such as that patented in [42], where two different pixel charge times are considered and a composite image with extended dynamic range is delivered. A novel hardware setup that combines HDR imaging with compressive sensing for the first time is presented in [43]. Such setup requires only a single pixel, opening the possibility of composing HDR images from widespectrum or special wavelength sensing elements which cannot usually be provided in high-resolution imaging arrays.…”

Section: Related Workmentioning

confidence: 99%

Adaptive High Dynamic Range for Time-of-Flight Cameras

Conde

Hartmann

Loffeld

2015

IEEE Trans. Instrum. Meas.

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The limited dynamic range of conventional digital cameras is a well-known problem. A common solution is to apply high-dynamic-range (HDR) techniques over several images acquired using different exposure times. Time-of-flight (ToF) cameras using a photonic mixer device (PMD) are not an exception, since the dynamic range of its dual pixels is also limited. Furthermore, in this case, the saturation of the pixel channels leads to wrong depth measurements. An appropriate solution is the suppression of background illumination (SBI) system designed by the PMD. This system actually extends the dynamic range of the camera by hardware, but it also introduces noise when activated. In this paper, we present an adaptive HDR (AHDR) solution to the problem for the ToF case that overcomes the limited dynamic range of the system, allowing sensing along a theoretically infinite dynamic range with the only limitations of the power of the illumination system and the decay of the SNR with higher distances or lower illumination intensities. Our method is able to detect and segment relevant scene regions responsible for unexpected saturation, i.e., close foreground objects, from the rest of the scene and adjust the exposure times of the acquired images considering them. The results show a reduction in detail losses and a higher SNR in the AHDR raw images, with respect to single acquisitions. This results in a dramatic depth error reduction and effective axial resolution improvement in critical areas, while keeping a high frame rate. In addition, the SBI-related noise is eliminated.Index Terms-High dynamic range (HDR), noise reduction, photonic mixer device (PMD), suppression of background illumination (SBI), time-of-flight (ToF).

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High dynamic range compressive imaging: a programmable imaging system

Cited by 16 publications

References 37 publications

Modeling and image quality enhancement for dynamic compressive imaging system

Modeling and image quality enhancement for dynamic compressive imaging system

Optical compressive sensing technologies for space applications: instrumental concepts and performance analysis

Adaptive High Dynamic Range for Time-of-Flight Cameras

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