Raees holds a B. Tech. in Electronics and Communication Engineering (2012) from NITC, India, and a Master of Science in Wireless Systems (2017) from KTH, Sweden. His main interests are in signal processing and information theory. He is currently working on developing data compression solutions for both optically acquired and computer-generated holograms.
The digital age has ushered in an age where we can consume information from any location with applications like Spotify, Netflix and Instagram. Data compression is extensively used in these applications, enabling the consumption of higher quality media than what is possible without it. Apart from audio/image/video, data compression can be applied to any kind of data that benefits from size reduction, like holograms. Holography enables the recording of a 3D object, such that from the recording, an identical projection of the object in the real world can be obtained. Holography can not only be used for entertainment/visualization purposes but also for taking accurate measurements of microscopic objects. Since the electromagnetic light wavefield radiating from a hologram is similar to that of the object, it is considered as the holy grail of imaging and display techniques.
Holograms require a large number of measurements. Without data compression, for microscopic holograms, several hundreds of gigabytes are needed for each recording session, while streaming large holograms for visualization requires several times more bandwidth than what is feasible in the near future. Data compression solutions will play a big role in bringing holography to the mainstream.