Single-pixel compressive imaging based on the transformation of discrete orthogonal Krawtchouk moments

Ying Chen, Xu Ri Yao, Qing Zhao, Shuai Liu, Xue Feng Liu, Chao Wang, Guang Jie Zhai

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

A single-pixel compressive imaging technique that uses differential modulation based on the transformation of discrete orthogonal Krawtchouk moments is proposed. In this method, two sets of Krawtchouk basis patterns are used to differentially modulate the light source, then the Krawtchouk moments of the target object are acquired from the light intensities measured by a single-pixel detector. The target image is reconstructed by applying an inverse Krawtchouk moment transform represented in the matrix form. The proposed technique is verified by both computational simulations and laboratory experiments. The results show that this technique can retrieve an image from compressive measurements and the real-time reconstruction. The background noise can be removed by the differential measurement to realize the excellent image quality. Moreover, the proposed technique is especially suitable for the single-pixel imaging application that requires the extraction of the characteristics at the region-of-interest.

Original languageEnglish
Pages (from-to)29838-29853
Number of pages16
JournalOptics Express
Volume27
Issue number21
DOIs
Publication statusPublished - 14 Oct 2019
Externally publishedYes

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