Single-pixel ghost imaging based on mobile phones

Liu, Jiang-Tao; Li, Jun; Huang, Jinbao; Cai, Xunming; Deng, Xiong; Zhang, Dejian

doi:10.1117/1.oe.58.2.023106

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…A new method of visualization of 3D objects is the correlation method of obtaining images (ghost imaging) [44]. The ghost image uses optical correlations, i.e., even if the information from any of the detectors used to create the image does not create an image, the image can be obtained using optical correlations.…”

Section: Discussionmentioning

confidence: 99%

Multi-View 3D Integral Imaging Systems Using Projectors and Mobile Devices

2021

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Glassless 3D displays using projectors and mobile phones based on integral imaging technology have been developed. Three-dimensional image files are created from the 2D images captured by a conventional camera. Large size 3D images using four HD and Ultra HD 4K projectors are created with a viewing angle of 35 degrees and a large depth. Three-dimensional images are demonstrated using optimized lenticular lenses and mobile smartphones, such as LG and Samsung with resolution 2560 × 1440, and 4K Sony with resolution 3840 × 2160.

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Section: Discussionmentioning

confidence: 99%

Multi-View 3D Integral Imaging Systems Using Projectors and Mobile Devices

2021

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“…The relationship between visual saliency and image quality has been integrated in IQA model, and better prediction results could be achieved. In [22], a Visual Saliency-based Index (VSI) was introduced and the visual saliency was computed by SDSP (Saliency Detection by combing Simple Priors). In addition, to compensate for the lack of contrast sensitivity, gradient modulus was chosen as an additional feature.…”

Section: Related Workmentioning

confidence: 99%

Full Reference Image Quality Assessment Based on Visual Salience With Color Appearance and Gradient Similarity

Lin

2020

IEEE Access

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Image quality assessment (IQA) model is designed to measure the image quality in consistent with subjective ratings by computational models. In this research, a reliable full reference color IQA model is proposed by combining the Visual saliency with Color appearance (VC) similarity, gradient similarity and chrominance similarity. Two new color appearance indices, vividness and depth, are selected to build the visual saliency similarity map. The structure and chrominance features are characterized by different channels of chosen color space. VC map plays two roles in the proposed model. One is utilized as feature to compute the local quality of distorted image, and the other is as a weight part to reflect the importance of local domain. The novel model is called visual saliency with color appearance and gradient similarity (VCGS). To quantify the specific parameters of VCGS, some experiments are conducted based on the statistical correlation indices. Massive experiments are performed on the publicly available benchmark single and multiple distortion databases, and the commonly evaluation criteria results prove that VCGS works with higher consistency with the subjective evaluations than the other state-of-the-art IQA models for the prediction accuracy. Besides, VCGS maintain a moderate computational complexity.

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Single-pixel ghost imaging based on mobile phones

Cited by 2 publications

References 34 publications

Multi-View 3D Integral Imaging Systems Using Projectors and Mobile Devices

Multi-View 3D Integral Imaging Systems Using Projectors and Mobile Devices

Full Reference Image Quality Assessment Based on Visual Salience With Color Appearance and Gradient Similarity

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