Removing light interference to improve character recognition rate by using single-pixel imaging

Gao, Xicheng; Deng, Huaxia; Guan, Qingtian; Sun, Qianzhen; Si, Wuhan; Zhong, Xiang

doi:10.1016/j.optlaseng.2020.106517

Cited by 17 publications

(4 citation statements)

References 39 publications

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“…Several methods have been proposed for achieving GI in complex environments where signals are vulnerable to distortion or loss [9][10][11][12][13]. By distinguishing signals on different dimensions, such as polarization [14], spectrum [15], frequency of modulation [16,17], GI is capable of effectively suppressing the influence of noise with distinct characteristics. Nevertheless, the utility of the above properties requires enough prior information on noise, which is difficult to achieve in diverse complex environments [18].…”

Section: Introductionmentioning

confidence: 99%

Multiple description coding ghost imaging

Zhang,

Chang

et al. 2023

Front. Phys.

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Ghost imaging (GI) reveals its exceptional superiority over conventional cameras in a range of challenging scenarios such as weak illumination or special waveband. For high-performance GI, it is vital to obtain a sequence of high-fidelity bucket signals. However, measurements may suffer from distortion or loss in harsh environments. Here we present multiple description coding ghost imaging, which rests on illumination consisting of different coding patterns to address this challenge. Experimental results indicate that the proposed method is capable of producing satisfactory image even when the sequence of bucket signals is incomplete or highly distorted. This method provides an encouraging boost for GI in practical applications.

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Section: Introductionmentioning

confidence: 99%

Multiple description coding ghost imaging

Zhang,

Chang

et al. 2023

Front. Phys.

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“…Wang et al (2021) proposed the deep transfer learning model to solve the problem of sample scarcity and achieved a better network model. Xicheng et al (2021) realized effective detection of common defects in substations by adding a feature pyramid network and adjusting loss function and non-maximum suppression appropriately. Yin (2018) used an improved convolutional neural network combined with a pattern recognition strategy to detect 7 types of equipment defects in infrared images of substation equipment, such as current transformers, isolation switches, and arresters.…”

Section: Introductionmentioning

confidence: 99%

Research on Hot Operation of a Petrochemical Plant Based on Compound Edge Operator

Liu

2023

Journal of Cases on Information Technology

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In the operation of petrochemical plants, safety operation is the top priority, especially for the control of fire operation. In this paper, based on the real hot work in petrochemical plants, based on the extraction methods of different edge operators, the compound analysis of different edge operators can be carried out to visually detect the hot work of petrochemical workers in petrochemical plants, and based on the neural network algorithm, the convolution operation of edge data is carried out, and the data is input into the hot work database to build the hot work database and identify the flame. Remind the hot operation, according to the size of the flame to make a preliminary judgment on whether the danger, combined with the characteristics of the petrochemical device itself to add smoke identification. This method is of great significance to improve the thermal safety monitoring level of petrochemical plant.

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“…25,26 The self-assembly synthesis of large-sized perovskite nanocrystals with a tunable wavelength and alleviated defects has proven to be a straightforward and empirically reliable strategy. 27,28 Charged-coupled devices (CCDs) have been widely used in laser imaging radar, 29,30 low light level detection, 31 missile guidance, 32 space remote sensing, 33 recognition, 34 and inspec-tion for civilian or military purposes. 35 Countries worldwide have recognized the tremendous power and effect of photoelectric guidance devices based on CCDs and their significant role in photoelectric equipment for developing weapons.…”

Section: Introductionmentioning

confidence: 99%

Self-assembled CsPbBr₃quantum dots with wavelength-tunable photoluminescence for efficient active jamming

Chen

et al. 2022

Nanoscale

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Removing light interference to improve character recognition rate by using single-pixel imaging

Cited by 17 publications

References 39 publications

Multiple description coding ghost imaging

Multiple description coding ghost imaging

Research on Hot Operation of a Petrochemical Plant Based on Compound Edge Operator

Self-assembled CsPbBr₃quantum dots with wavelength-tunable photoluminescence for efficient active jamming

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Removing light interference to improve character recognition rate by using single-pixel imaging

Cited by 17 publications

References 39 publications

Multiple description coding ghost imaging

Multiple description coding ghost imaging

Research on Hot Operation of a Petrochemical Plant Based on Compound Edge Operator

Self-assembled CsPbBr3quantum dots with wavelength-tunable photoluminescence for efficient active jamming

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Product

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Self-assembled CsPbBr₃quantum dots with wavelength-tunable photoluminescence for efficient active jamming