Coding of an autostereoscopic 3D image sequence
Toshiaki Fujii, Hiroshi Harashima · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
This paper is concerned with the data compression and interpolation of multi-view image. In this paper, we formulate the compression and interpolation problem of 3D image and propose a novel coding scheme of autostereoscopic 3D images. First, we introduce a general representation of an autostereoscopic 3D image and explain the concept of `space coding'. In this concept, multi-view image can be regarded as sampled data of the `space', and the objective of transmitting multi-view image can be considered as the reconstruction of the `space' in the remote site. From this viewpoint, we then examine the 3D structure extraction coding. In the experiment, we assume a simple wireframe model and evaluate the coding efficiency in terms of the bit rate and SNR is decoded images. Finally, we report the experiment, where two sets of multi-view images were used as original images and the amount of data was reduced to 1/20 with SNR 34 dB.