Full-color computational ghost imaging using a chromatic LED array and image interpolation
JPhys Photonics, ISSN: 2515-7647, Vol: 3, Issue: 2
2021
- 3Citations
- 5Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Computational ghost imaging has been an interesting topic for the imaging research community. However, low resolution and quality of image have been a major problem inhibiting the application of computational ghost imaging technique. In this work, we develop a chromatic 64 × 64 LED array which provides high-speed structured illumination up to 2.5 MHz for computational ghost imaging. Importantly, rather than using regular Cartesian arrangement which is commonly used in a digital camera's detection array, the LED chips on chromatic LED array we propose are arranged in a special way we refer to as basket-weave sampling. The experimental results demonstrate that our proposed arrangement outperforms Cartesian arrangement for storing high-frequency information of colored pictures, with averaged root mean squared error (RMSE) reduced by 4.6%. Meanwhile, considering the physical structure of the LED array, we propose a targeted interpolation algorithm for resulting images obtained from the experiment, and results show that our algorithm has lower averaged RMSE by 2% when compared to bilinear algorithm and by 6.4% when compared to bicubic algorithm.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85103562146&origin=inward; http://dx.doi.org/10.1088/2515-7647/abe7c8; https://iopscience.iop.org/article/10.1088/2515-7647/abe7c8; https://dx.doi.org/10.1088/2515-7647/abe7c8; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=ad9595aa-74b7-4b10-8dab-db533dd14d6f&ssb=27179285088&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F2515-7647%2Fabe7c8&ssi=2657783c-cnvj-4b47-8630-34e364b16fc8&ssk=botmanager_support@radware.com&ssm=14024375722379186176230748883058809&ssn=6ef6f01f7726791ea9e2de964806a3a8b1e73b06693a-ab42-47cc-8485ff&sso=b7865a70-560bf8d25e538b57d1778f73c3b670388eb167171986f0b7&ssp=24219866671735613738173599116455151&ssq=94030143663802166852397305933867751759134&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJyZCI6ImlvcC5vcmciLCJfX3V6bWYiOiI3ZjYwMDBjOGQ4M2E0NC01NzY0LTQzMGYtYmU4ZC03ZmU3OTdkYjBhMzMxNzM1Njk3MzA1NTMyMjM5MzMyNjU4LTZlYWRkYjNlYTI3MTcyNmMxNzYyMyIsInV6bXgiOiI3ZjkwMDBhM2RlMjYzYS1kM2RjLTQ0MzMtOTg3My02ZmZhOTQ2OTAwOGEzLTE3MzU2OTczMDU1MzIyMzkzMzI2NTgtMTcwODY5M2EyOWZiN2ZkNzE3NjIzIn0=
IOP Publishing
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know