Mutual Information of Ghost Imaging Systems

Enrong, 李恩荣 Li; Mingliang, 陈明亮 Chen; Wenlin, 龚文林 Gong; Hong, 喻虹 Yu; Shensheng, 韩申生 Han

doi:10.3788/aos201333.1211003

Cited by 8 publications

(3 citation statements)

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“…From the theoretical perspective, several studies in this direction have been performed. In 2013, Li et al [91] firstly tried to theoretically analyze the mutual information between the detection signal and the imaging object given the determined light fields in GI, and on this basis, gave the optimal parameter of Bernoulli light fields that maximizes the mutual information to perform the optimization. However, this research was restricted to designing light fields subject to some specific distributions.…”

Section: Optimizing the Encoding Mode To Reduce Unnecessary Sampling ...mentioning

confidence: 99%

“…On the other hand, the information content that the GI system can transmit is a more fundamental problem which could inspire the encoding optimization. As aforementioned, mutual information between the detection signal and the imaging object given a determined type of light fields has been analyzed [91] and applied to light-field optimization. Besides the mutual information, Fisher information [101] has also been used to analyze the information that detection signals contain about the imaging object in the GI system [102].…”

Section: Optimizing the Encoding Mode To Reduce Unnecessary Sampling ...mentioning

confidence: 99%

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On Ghost Imaging Studies for Information Optical Imaging

Han

2022

Applied Sciences

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Since the birth of information theory, to understand, study, and optimize optical imaging systems from the information–theoretic viewpoint has been an important research subfield of optical imaging, accompanied by a series of corresponding advances. However, since the “direct point-to-point” image information acquisition mode of traditional optical imaging systems, which directly performs one-to-one signal mapping from the object to the detection plane, lacks a “coding–decoding” operation on the image information, related studies based on information theory are more meaningful in the theoretical sense, while almost acting as icing on the cake for the optimization and design of practical systems and contributing little to substantive breakthroughs in further imaging capabilities. With breakthroughs in modern light-field modulation techniques as well as ghost imaging techniques, which establish point-to-point image signal reproduction based on high-order correlation of light fields, currently, it is able to encode the image information with controllable spatiotemporal light-field fluctuations during the ghost imaging process. Combined with modern digital photoelectric detection technologies, ghost imaging systems behave more in line with the modulation–demodulation information transmission mode compared to traditional optical imaging. This puts forward imperative demands and challenges for understanding and optimizing ghost imaging systems from the viewpoint of information theory, as well as bringing more development opportunities for the research field of information optical imaging. This article will briefly review the development of information optical imaging since the birth of information theory, overview its current research status by combining with latest related progresses in ghost imaging, and discuss the potential developing tendency of this research topic.

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Section: Optimizing the Encoding Mode To Reduce Unnecessary Sampling ...mentioning

confidence: 99%

Section: Optimizing the Encoding Mode To Reduce Unnecessary Sampling ...mentioning

confidence: 99%

On Ghost Imaging Studies for Information Optical Imaging

Han

2022

Applied Sciences

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“…Therefore, how to improve the sampling efficiency deserves further study in GI. In fact, the problem of enhancing sampling efficiency can be transformed into the speckle pattern optimization problem, that is, the sampling matrix optimization problem, which can learn from the matrix design methods in CS [36][37][38][39][40] . So far, various speckle patterns have been designed to optimize the light fields of GI, such as multi-scale speckle OPEN 1 School of Automation, Central South University, Changsha 410083, China.…”

Section: Improving the Performance Of Ghost Imaging Via Measurement-dmentioning

confidence: 99%

Improving the performance of ghost imaging via measurement-driven framework

Kang

Wang

Ling

et al. 2021

Sci Rep

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High-quality reconstruction under a low sampling rate is very important for ghost imaging. How to obtain perfect imaging results from the low sampling rate has become a research hotspot in ghost imaging. In this paper, inspired by matrix optimization in compressed sensing, an optimization scheme of speckle patterns via measurement-driven framework is introduced to improve the reconstruction quality of ghost imaging. According to this framework, the sampling matrix and sparse basis are optimized alternately using the sparse coefficient matrix obtained from the low-dimension pseudo-measurement process and the corresponding solution is obtained analytically, respectively. The optimized sampling matrix is then dealt with non-negative constraint and binary quantization. Compared to the developed optimization schemes of speckle patterns, simulation results show that the proposed scheme can achieve better reconstruction quality with the low sampling rate in terms of peak signal-to-noise ratio (PSNR) and mean structural similarity index (MSSIM). In particular, the lowest sampling rate we use to achieve a good performance is about 6.5%. At this sampling rate, the MSSIM and PSNR of the proposed scheme can reach 0.787 and 17.078 dB, respectively.

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Negative exponential behavior of image mutual information for pseudo-thermal light ghost imaging: observation, modeling, and verification

Li¹,

Luo²,

Yang³

et al. 2017

Science Bulletin

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Abstract. When use the image mutual information to assess the quality of reconstructed image in pseudo-thermal light ghost imaging, a negative exponential behavior with respect to the measurement number is observed. Based on information theory and a few simple and verifiable assumptions, semiquantitative model of image mutual information under varying measurement numbers is established. It is the Gaussian characteristics of the bucket detector output probability distribution that leads to this negative exponential behavior. Designed experiments verify the model.

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Mutual Information of Ghost Imaging Systems

Cited by 8 publications

References 0 publications

On Ghost Imaging Studies for Information Optical Imaging

On Ghost Imaging Studies for Information Optical Imaging

Improving the performance of ghost imaging via measurement-driven framework

Negative exponential behavior of image mutual information for pseudo-thermal light ghost imaging: observation, modeling, and verification

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