A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging.
A Russian Dolls ordering of the Hadamard basis for compressive single-pixel imaging.
复制标题
用于压缩单像素成像的哈达玛基础的俄罗斯娃娃排序
DOI:
10.1038/s41598-017-03725-6
复制
发表时间:
2017-06-14
影响因子:
4.6
通讯作者:
Radwell N
中科院分区:
文献类型:
--
作者:
Sun MJ;Meng LT;Edgar MP;Padgett MJ;Radwell N
Single-pixel imaging is an alternate imaging technique particularly well-suited to imaging modalities such as hyper-spectral imaging, depth mapping, 3D profiling. However, the single-pixel technique requires sequential measurements resulting in a trade-off between spatial resolution and acquisition time, limiting real-time video applications to relatively low resolutions. Compressed sensing techniques can be used to improve this trade-off. However, in this low resolution regime, conventional compressed sensing techniques have limited impact due to lack of sparsity in the datasets. Here we present an alternative compressed sensing method in which we optimize the measurement order of the Hadamard basis, such that at discretized increments we obtain complete sampling for different spatial resolutions. In addition, this method uses deterministic acquisition, rather than the randomized sampling used in conventional compressed sensing. This so-called ‘Russian Dolls’ ordering also benefits from minimal computational overhead for image reconstruction. We find that this compressive approach performs as well as other compressive sensing techniques with greatly simplified post processing, resulting in significantly faster image reconstruction. Therefore, the proposed method may be useful for single-pixel imaging in the low resolution, high-frame rate regime, or video-rate acquisition.