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Full-color computational ghost imaging using a chromatic LED array and image interpolation
Author(s) -
Lijing Li,
Hong-Xu Huang,
Ming-Jie Sun
Publication year - 2021
Publication title -
journal of physics photonics
Language(s) - English
Resource type - Journals
ISSN - 2515-7647
DOI - 10.1088/2515-7647/abe7c8
Subject(s) - bilinear interpolation , demosaicing , mean squared error , interpolation (computer graphics) , chromatic scale , bicubic interpolation , computational complexity theory , computer science , artificial intelligence , cartesian coordinate system , computer vision , algorithm , image quality , image (mathematics) , mathematics , color image , image processing , multivariate interpolation , geometry , statistics , combinatorics
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.

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