We analyze several representations for holographic data and determine the effectiveness of a common lossy compression algorithm for each representation. We demonstrate that a phase–amplitude representation, when used to represent holograms of diffuse objects, can be combined with a phase unwrapping algorithm to achieve much higher compression ratios (CRs) than direct compression of the complex valued holographic data. We compare the compression performance of the JPEG algorithm for several conventional and alternative holographic data representations. Additionally, we test two different phase unwrapping algorithms to improve phase compression performance. In particular, we propose and evaluate an alternative phase representation based on a quality guided phase unwrapping algorithm. This alternative representation offers higher performance to the other tested approaches, achieving CRs over 6 with a limited quality loss after reconstruction. We add the experimental reconstruction of the processed holograms to further validate our proposal.

我们分析了全息数据的几种表示，并确定了每种表示的常见有损压缩算法的有效性。我们证明，当用于表示漫射对象的全息图时，相位-幅度表示可以与相位展开算法相结合，以实现比复值全息数据的直接压缩高得多的压缩比 (CR)。我们比较了几种传统和替代全息数据表示的 JPEG 算法的压缩性能。此外，我们测试了两种不同的相位展开算法以提高相位压缩性能。特别是，我们提出并评估了一种基于质量引导相位展开算法的替代相位表示。这种替代表示为其他测试方法提供了更高的性能，在重建后以有限的质量损失实现了超过 6 的 CR。我们添加了处理过的全息图的实验重建，以进一步验证我们的建议。