Vaz Pedro G, Amaral Daniela, Requicha Ferreira L F, Morgado Miguel, Cardoso João
Opt Express. 2020 Apr 13;28(8):11666-11681. doi: 10.1364/OE.387612.
Single-pixel imaging is an imaging technique that has recently attracted a lot of attention from several areas. This paper presents a study on the influence of the Hadamard basis ordering on the image reconstruction quality, using simulation and experimental methods. During this work, five different orderings, Natural, Walsh, Cake-cutting, High Frequency and Random orders, along with two different reconstruction algorithms, TVAL3 and NESTA, were tested. Also, three different noise levels and compression ratios from 0.1 to 1 were evaluated. A single-pixel camera was developed using a digital micromirror device for the experimental phase. For a compression ratio of 0.1, the Cake-cutting order achieved the best reconstruction quality, while the best contrast was achieved by Walsh order. For compression ratios of 0.5, the Walsh and Cake-cutting orders achieved similar results. Both Walsh and Cake-cutting orders reconstructed the images with good quality using compression ratios from 0.3. Finally, the TVAL3 algorithm showed better image reconstruction quality, in comparison with NESTA, when considering compression ratios from 0.1 to 0.5.
单像素成像作为一种成像技术，近年来在多个领域备受关注。本文采用模拟和实验方法，研究了哈达玛基序排序对图像重建质量的影响。在这项工作中，测试了五种不同的排序方式，即自然序、沃尔什序、切蛋糕序、高频序和随机序，以及两种不同的重建算法，即TVAL3和NESTA。此外，还评估了三种不同的噪声水平以及从0.1到1的压缩比。在实验阶段，使用数字微镜器件开发了一台单像素相机。对于压缩比为0.1的情况，切蛋糕序实现了最佳的重建质量，而沃尔什序实现了最佳的对比度。对于压缩比为0.5的情况，沃尔什序和切蛋糕序取得了相似的结果。当压缩比从0.3开始时，沃尔什序和切蛋糕序都能以良好的质量重建图像。最后，在考虑压缩比从0.1到0.5的情况下，与NESTA相比，TVAL3算法显示出更好的图像重建质量。
