Compression methods for digital holographic data

Digital holography plays a crucial role in recent three dimensional imaging as well as microscopic applications. As a result, huge amounts of storage capacity will be involved for this kind of data. Therefore, it becomes necessary to develop efficient hologram compression schemes for storage and transmission purposes, which is the aim of this thesis. Particularly, the objective is the compression of digital holographic data obtained from phase-shifting interferometry. Unlike conventional approaches which encode certain representation of phase-shifting holographic data independently, the proposed work first studies the possible representations of phase-shifting holographic data and analyzes the redundancies in each representation. A new representation, referred to as shifted distance information, is selected as the compression target. Then, a vector lifting schemes based compression method is proposed to jointly encode this data. We also show the benefits that can be drawn from improving a separable decomposition to a non-separable one within such joint coding schemes. On the other hand, we also investigate the performance of mainstream video coding schemes and the effects of some parameters which are used in the design of different compression schemes. This may allow us to build content adaptive methods. More precisely, the prediction filter length used in vector lifting schemes or the transform unit size used in video coding schemes can be optimized according to different holographic structures. However, the optimization method will be the future work of this thesis.