Group-based image recovery in ghost imaging

Chenwei Wang; Guohua Wu; Dongyue Yang; Longfei Yin

doi:10.1117/12.2631834

14 April 2022 Group-based image recovery in ghost imaging

Chenwei Wang, Guohua Wu, Dongyue Yang, Longfei Yin

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121780N (2022) https://doi.org/10.1117/12.2631834
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

Traditional ghost imaging usually suffers from two problems. First, it usually offers poor images even if the measurement numbers are much larger than the pixels of images to be imaged. Second, the number of samples of ghost imaging should be lower. In this paper, a Group-based sparse representation ghost imaging (GSRGI) reconstruction scheme is proposed. The proposed GSRGI uses the structure group as the basic unit of sparse representation, which is composed of patches with similar structures, fully reflects the local sparsity and non-local self-similarity of natural images. To make GSRGI computational complexity lower, we combine the method of image blocking with computational ghost imaging. Through numerical simulation and experiment, GSRGI can obtain high image quality under a low sampling rate, it is better than other schemes in both quantitative analysis and visual perception.

Citation Download Citation

Chenwei Wang, Guohua Wu, Dongyue Yang, and Longfei Yin "Group-based image recovery in ghost imaging", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121780N (14 April 2022); https://doi.org/10.1117/12.2631834

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