Shift, rotation and scale invariant optical information authentication with binary digital holography

Jiao, Shuming; Zhou, Changyuan; Zou, Wenbin; Li, Xia

doi:10.1016/j.optcom.2017.07.069

Cited by 6 publications

(2 citation statements)

References 27 publications

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“…In some previous works, the authentication (or recognition) of target object was implemented for SPI with relatively less number of illuminations [14][15][16][34][35][36]. However, despite the success in these works, the target object can only be authenticated as correct or wrong, regarding to a reference object image (or possibly some geometrical variant of the reference object [37]). A classification of multiple-class objects cannot be achieved in these schemes [14][15][16][34][35][36].…”

Section: Introductionmentioning

confidence: 99%

Fast object classification in single-pixel imaging

Jiao¹

2018

Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018)

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In single-pixel imaging (SPI), the target object is illuminated with varying patterns sequentially and an intensity sequence is recorded by a single-pixel detector without spatial resolution. A high quality object image can only be computationally reconstructed after a large number of illuminations, with disadvantages of long imaging time and high cost. Conventionally, object classification is performed after a reconstructed object image with good fidelity is available. In this paper, we propose to classify the target object with a small number of illuminations in a fast manner for Fourier SPI. A naive Bayes classifier is employed to classify the target objects based on the single-pixel intensity sequence without any image reconstruction and each sequence element is regarded as an object feature in the classifier. Simulation results demonstrate our proposed scheme can classify the number digit object images with high accuracy (e.g. 80% accuracy using only 13 illuminations, at a sampling ratio of 0.3%).

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Section: Introductionmentioning

confidence: 99%

Fast object classification in single-pixel imaging

Jiao¹

2018

Sixth International Conference on Optical and Photonic Engineering (icOPEN 2018)

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“…All the subsequent operations are based on the directional feature when it comes to rotation and scaling, thereby providing the invariance of rotation and scaling. Radon transform [21]and log-polar transformation (LPT) [22] are two typical rotating and scaling invariance transforms. Radon transformation is an integral transformation.…”

Section: Related Work For Rotation and Scaling Invariancementioning

confidence: 99%

Study on Rotation and Scaling Invariance of Retina-Like Imaging

et al. 2020

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Inspired by human vision, retina-like imaging has the feature of rotation and scaling invariance, which is beneficial for target tracking and recognition. However, there is a limitation that the center of field of view (FOV) should match with the target centroid. Currently, there is no effective method to quantitatively estimate the effects from this mismatch. To solve the issue, a novel evaluation method is proposed by applying the log-polar transform and Fourier transform. Then reconstruct the target image by exchanging magnitude and phase information between the target image and its rotated or scaled counterpart. Using two current methods of digital image processing, scale-invariant feature transform (SIFT) and biaxial projection similarity analysis (BPS), as evaluation criteria, the proposed method performs efficiently for all eccentric angles. Simulation results show that for a specific target, the invariance of rotation and scaling works effectively for a value above 0.69.

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Optical image encryption and authentication scheme based on partial joint power spectrum and phase-retrieval technique

Xiong

Quan

2020

Optics and Lasers in Engineering

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Shift, rotation and scale invariant optical information authentication with binary digital holography

Cited by 6 publications

References 27 publications

Fast object classification in single-pixel imaging

Fast object classification in single-pixel imaging

Study on Rotation and Scaling Invariance of Retina-Like Imaging

Optical image encryption and authentication scheme based on partial joint power spectrum and phase-retrieval technique

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