Computational ghost imaging based on Walsh matrix replication

Jia, Shanshan; Zhao, Xiwei; Zhou, Cheng; Song, Lijun

doi:10.1117/12.2547593

Cited by 2 publications

(1 citation statement)

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“…In this paper, the Walsh transform of the Walsh order is used to reconstruct the image. The one-dimensional Walsh transform kernel is as follows [15]:…”

Section: Walsh Functions and Transformationsmentioning

confidence: 99%

Real-time Ghost Imaging Algorithm on Multidimensional Vector Matrix Walsh Transformation with Free-Fps

Feng

Sang

2023

Preprint

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In this study, we present a real-time free-fps algorithm that utilizes a multi-dimensional vector matrix Walsh transform to address some of the current challenges in real-time video ghost imaging of moving objects. The algorithm allows for adjustable ghost imaging quality and frame rate, which solves the issues of less reconstruction sampling times, non-smooth imaging, and fixed imaging frame rate. To achieve this, a four-dimensional vector Walsh transform kernel matrix is used to transform and reconstruct the high-quality images of the target object, and then reasonable frame rate parameters are set based on the corresponding relationship between the bucket detection values and speckle in the front and back frames, resulting in smooth live video ghost imaging. After simulation and experimental verification of moving objects, our results demonstrate that our proposed algorithm outperforms existing video ghost imaging methods. Specifically, our algorithm solves the DMD refresh rate limitation, resulting in smoother and more stable real-time imaging. Moreover, objective evaluation indexes such as PSNR, the subjective non-reference evaluation standard NRSS structure retention, and Brisque subjective evaluation all show significant improvements of 8%, 7%, and 7%, respectively.

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“…In this paper, the Walsh transform of the Walsh order is used to reconstruct the image. The one-dimensional Walsh transform kernel is as follows [15]:…”

Section: Walsh Functions and Transformationsmentioning

confidence: 99%

Real-time Ghost Imaging Algorithm on Multidimensional Vector Matrix Walsh Transformation with Free-Fps

Feng

Sang

2023

Preprint

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Real-time ghost imaging algorithm on the multidimensional vector matrix Walsh transformation with spatiotemporal free-fps

Feng,

Sang,

et al. 2024

Appl. Opt.

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In this research, we propose a real-time spatiotemporal free-fps algorithm based on the multidimensional vector matrix Walsh transform with an adjustable ghost imaging video quality and a frame rate to address the issues of uneven imaging speed, fixed imaging frame rate, and uncomfortable appearance in real-time ghost imaging videos of moving objects. This algorithm utilizes the temporal and spatial correlation of ghost imaging videos to achieve free and adjustable video frame rates in time without being limited by DMD refresh rates. Improving the spatial information of a single frame in space enhances the smoothness of ghost imaging videos, making the appearance of ghost imaging videos more comfortable. To achieve this, a four-dimensional vector Walsh transform kernel matrix is used to transform and reconstruct the high-quality images of the target object. Then the reconstructed high-quality image is spatially interpolated to enhance spatial information. Reasonable frame rate parameters are set based on the corresponding relationship between the detection values of the adjacent frames and speckle, improving the ghost imaging video in both time and space and achieving a smooth real-time ghost imaging video with an adjustable quality and frame rate. The simulation and experimental results of moving objects show that our algorithm solves the limitation of a DMD refresh rate compared with the existing ghost imaging video methods and makes the ghost imaging video more comfortable and smoother in real time. The PSNR of the objective evaluation index is increased by 12%. Regarding a subjective evaluation, this paper proposes an adaptive parameterless evaluation algorithm (APEA) for images with different resolutions based on the NRSS, which improved the structure retention degree by 13% and the Brisque parameter evaluation by 70%. We propose an adaptive parameterless video comfort evaluation algorithm (APVCEA) to evaluate the subjective comfort of ghost imaging videos by 14% compared with traditional methods.

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Computational ghost imaging based on Walsh matrix replication

Cited by 2 publications

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Real-time Ghost Imaging Algorithm on Multidimensional Vector Matrix Walsh Transformation with Free-Fps

Real-time Ghost Imaging Algorithm on Multidimensional Vector Matrix Walsh Transformation with Free-Fps

Real-time ghost imaging algorithm on the multidimensional vector matrix Walsh transformation with spatiotemporal free-fps

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