Hadamard `Pipeline' Coding Computational Ghost Imaging

TL;DR

This paper introduces a Hadamard 'pipeline' coding method for computational ghost imaging that simplifies pattern generation, reduces memory use, and enhances efficiency in Hadamard matrix application.

Contribution

It proposes a novel direct Hadamard pattern generation approach that streamlines the coding process and optimizes sequence implementation for ghost imaging.

Findings

Reduces memory consumption in Hadamard pattern generation

Simplifies the coding process for computational ghost imaging

Provides an effective method for Hadamard sequence optimization

Abstract

The Hadamard matrix with orthogonality is a more important modulation matrix for computational ghost imaging (CGI), especially its optimized Hadamard matrix. However, as far as we know, little mention has been paid to efficient and convenient Hadamard matrix generation for CGI. The existing methods are to reconstruct any row of Hadamard matrix into two-dimensional matrix and then optimize it. In this work, we propose a Hadamard `pipeline' coding computational ghost imaging approach, which can directly generate two-dimensional Hadamard derived pattern and Hadamard optimization sequence, whereby both the memory consumption and the complexity of coding implementation for CGI can be significantly reduced. The optimization method of commonly used hadamard optimization sequence implementation is also discussed. This method provides a new approach for Hadamard sequence optimization and ghost imaging applications.