Muhamad R K, Stępień P, Kujawińska M, Schelkens P
Opt Express. 2022 Jan 31;30(3):4261-4273. doi: 10.1364/OE.449932.
In this paper, we present a novel study on the impact of lossy data compression on the metrological properties of holographic tomography reconstruction of the refractive index (RI). We use a spatial bandwidth-optimized compression procedure that leverages the properties of image plane off-axis holograms and standardized compression codecs, both widely applied in research and industry. The compression procedure is tested at multiple bitrates, for four different objects and against three reconstruction algorithms. The metrological evaluation is primarily done by comparison to the reconstruction from original data using the root-mean-squared error (RMSE). We show that due to differences between objects and different noise sensitivities of the reconstruction algorithms, the rate-distortion behaviour varies, but in most cases allows for the compression below 1 bit per pixel, while maintaining an RI RMSE less than 10.
在本文中，我们提出了一项关于有损数据压缩对全息层析重建折射率（RI）计量特性影响的新颖研究。我们使用了一种空间带宽优化的压缩程序，该程序利用了图像平面离轴全息图的特性以及标准化压缩编解码器，这两者在研究和工业中都有广泛应用。该压缩程序在多个比特率下针对四个不同物体并与三种重建算法进行了测试。计量评估主要通过使用均方根误差（RMSE）与原始数据重建结果进行比较来完成。我们表明，由于物体之间的差异以及重建算法对不同噪声的敏感度不同，率失真行为会有所变化，但在大多数情况下允许压缩至每像素低于1比特，同时保持RI RMSE小于10。
