Holography challenges on coding and quality assessment

Holography is certainly the richer plenoptic format that still faces enormous challenges to make it an effective and reliable technological solution for multiple applications. Although digital holograms can provide a very detailed representation of the 3D information, they can easily result in huge amounts of data, requiring efficient compression for storage and trans-mission. Nowadays, both coding and quality evaluation of the coding technology is very challenging, despite the research effort dedicated to this data in recent years. Standard compression techniques tend to perform poorly due to the significantly different nature of the holographic data.The quality evaluation of different compression methodologies is another challenge. The 3D nature of holograms leads to very difficult representations, considering the current limitations of 3D displaying technologies. Moreover, current studies did not find suitable objective evaluation models. This paper describes the current state of the art in both compression and quality evaluation of digital holographic data. The current challenges and possible solutions will be considered.