Suppression of stray light based on energy information mining

Sun, Ting; Xing, Fei; Bao, Jingyu; Ji, Songsong; Li, Jin

doi:10.1364/ao.57.009239

Cited by 20 publications

(11 citation statements)

References 19 publications

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“…In this section, we compared the proposed RMGM method with three other methods, including the classic method and the excellent method in recent years, which are suitable for eliminating the stray light non-uniform background noise in surveillance image. The compared methods are Top-Hat transformation (THT) method [31], mean iterative filtering (MIF) method [32], NSTS method [33]. These methods are used to perform stray light elimination experiments in the same real captured image datasets (600 images).…”

Section: Experiments and Discussionmentioning

confidence: 99%

“…Therefore, they are not suitable for eliminating this non-uniform noise in the surveillance image. For spatial-domain methods, such as average filtering and gradient based thresholding [29], morphology operation [30], [31], mean iterative filtering [32], and new star target segmentation (NSTS) method [33] etc. Although these methods can better eliminate the non-uniform background noise caused by stray light in the surveillance image.…”

Section: Introductionmentioning

confidence: 99%

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Stray Light Elimination Method Based on Recursion Multi-Scale Gray-Scale Morphology for Wide-Field Surveillance

Liú

et al. 2021

IEEE Access

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The wide-field surveillance camera plays a critical role in space debris detection and the visible light situational awareness required for early warning. However, stray light in such a system has always been a serious problem. Current methods cannot effectively eliminate the interference of stray light, which directly lead to the inability to accurately segment the target and background, which greatly reduce the accuracy of target recognition. To solve this problem, we proposed an accurate stray light elimination method based on recursion multi-scale gray-scale morphology (RMGM). First, we defined two structural operators with different domains. These two structural operators can make full use of the difference information between the target region and the surrounding background region, which is the basic premise to ensure high-precision correction. Then we used the two structural operators with different domains to perform morphological processing on the surveillance image to eliminate stray light. Finally, in order to ensure that targets with different sizes in the surveillance image are not lost, we adopt a recursion multiscale method. We increase the size of structural operator and perform the morphological operation again on the estimated and eliminated stray light non-uniform background in order to retrieve the lost larger size target. In addition, we add an automatic decision mechanism on the recursion multi-scale method by using corresponding threshold judgment. Further experimental results on real captured image datasets show that compared with other methods, the proposed RMGM method can simultaneously have high-precision stray light elimination effect, high-precision target retention rate, and faster computation time.

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Section: Experiments and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stray Light Elimination Method Based on Recursion Multi-Scale Gray-Scale Morphology for Wide-Field Surveillance

Liú

et al. 2021

IEEE Access

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“…A typical star image consists of dozens of bright star spots with a dark background [ 38 ]. The signal-to-noise ratio (SNR) is generally between 20 dB and 50 dB.…”

Section: Background and Basementioning

confidence: 99%

A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image

Shi

Zhang

et al. 2021

Sensors

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The star tracker is widely used for high-accuracy missions due to its high accuracy position high autonomy and low power consumption. On the other hand, the ability of interference suppression of the star tracker has always been a hot issue of concern. A SLIC-DBSCAN-based algorithm for extracting effective information from a single image with strong interference has been developed in this paper to remove interferences. Firstly, the restricted LC (luminance-based contrast) transformation is utilized to enhance the contrast between background noise and the large-area interference. Then, SLIC (the simple linear iterative clustering) algorithm is adopted to segment the saliency map and in this process, optimized parameters are harnessed. Finally, from these segments, features are extracted and superpixels with similar features are combined by using DBSCAN (density-based spatial clustering of applications with noise). The proposed algorithm is proved effective by successfully removing large-area interference and extracting star spots from the sky region of the real star image.

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“…Fabricating a black surface which can absorb light in broadband range from all the incident angles find huge applications in the field of photovoltaic, energy harvesting devices, optoelectronic systems, stray light attenuation, and as a calibration source for spectroscopy and infrared cameras . A lot of efforts have been made to develop a perfect broadband absorbers using metamaterials, nanotexturing, and optical grading etc .…”

Section: Introductionmentioning

confidence: 99%

Design and Fabrication of a Multifunctional Flexible Absorber (Flexorb) in the UV–Vis–NIR Wavelength Range

Ghai

Baranwal

Singh

et al. 2019

Adv Materials Technologies

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breaking strain. [18] 4) The creasing in thin foils during fabrication and operations pose another challenge. [19] 5) The rigid and metallic foil-based absorbers will be difficult to mount on surfaces with complex geometry and curved contours. 6) The integrity of these absorbers with variety of underlying surfaces made of metals and polymers have not been established yet. To overcome some of these issues, flexible optical absorbers are developed using nanocomposites or thin metal foils as base substrate. [9,20] More recently, Zeranska-Chudek et al. has reported the flexible absorber based on grapheme/ polydimethylsiloxane (PDMS) nanocomposite with an average absorption of 95% in 400-1600 nm wavelength range. [21] The lower absorption capacity and narrow operating range is again a critical issue with this absorber. [22,23] Unavailability of an absorber which can meet all these functional requirements naturally leads to a fundamental question that how we can fabricate a near perfect flexible absorber which can overcome these issues. Here we report the fabrication of a novel flexible absorber (flexorb) with an absorbing capacity of >99% in the whole UV-vis-NIR broadband region using a simple and economical process. Apart from absorbing capacity, the mechanical integrity of flexible absorber with different types of underlying surfaces is an important parameter in order to qualify them for a variety of applications. A unified study which deals with the absorbing capacity and mechanical integrity of flexible absorbers has not been carried out to the best of author's knowledge and has been thoroughly performed in the current work. The use of PDMS as base matrix material ensures the flexibility as well as integrity of multifunctional absorber with different types of surfaces. Texturing and addition of ZnO, Fe, and carbon nanotubes (CNTs) as reinforcing fillers increases the photonic path length through multiple scattering of incident light and hence augments the absorbing capacity of PDMS. Additionally, the presence of CNTs helps to achieve impedance matching and thus significantly reduces the reflection of incident beam at absorber-surrounding interface. All these factors combined in a synergistic way and results in a near perfect absorption of incident light in the broader wavelength range of 300-2000 nm. Moreover, the flexorb shows multifunctional behavior in the sense that it can avoid environmental assisted degradation due to its observed hydrophobic and self-cleaning characteristics. In addition the improved Synthesis of a near perfect absorber is required for many technologically challenging areas. Most of the existing super absorbers are rigid and usually exploit the light in the visible range only leaving a significant part of available energy in the solar spectrum unutilized. Here the synthesis of a multifunctional flexible absorber (flexorb) with an ultrahigh absorbing capacity of >99% in the whole UV-vis-NIR region is reported. Flexorb is fabricated by texturing the polydimethylsiloxane matrix reinforced by Z...

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Suppression of stray light based on energy information mining

Cited by 20 publications

References 19 publications

Stray Light Elimination Method Based on Recursion Multi-Scale Gray-Scale Morphology for Wide-Field Surveillance

Stray Light Elimination Method Based on Recursion Multi-Scale Gray-Scale Morphology for Wide-Field Surveillance

A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image

Design and Fabrication of a Multifunctional Flexible Absorber (Flexorb) in the UV–Vis–NIR Wavelength Range

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