Digital hologram compression technique by eliminating spatial correlations based on MCTF

This paper proposed a new algorithm which compresses holographic signals captured or generated as digital data. A captured digital hologram is partitioned into multiple subregions with the same size. Next, if the Discrete Cosine Transform (DCT) is applied to these subregions, information that is visually similar to the original object is derived. Then the correlated subregions are organized into a single video stream and applied with Motion-Compensated Temporal Filtering (MCTF). Lastly, the streams are compressed using a lossy coding algorithm. This paper executed compression from 10:1 to 200:1 of digital holograms and observed the result after the reconstruction process. The numerical results represented about 11% increased compression efficiency compared to the previous researches.