Fractal Coding of a Multi-View 3-D Image

This paper deals with two important problems for the 3-D image communication; (i) how to synthesize intermediate-viewing-angle images of a Multi-View 3D Image, and (ii) how to compress the tremendous amount of data required for the stereoscopic visual effect. In order to synthesize a 3-D image having a larger number of views from a 3-D image having fewer views, we first propose a new concept of view interpolation technique; The resolution of Viewpoint-axis of a MultiView 3-D Image is enhanced for the purpose of increasing the number of viewpoints. Then we present a new data compression method which is scalable to any resolution, i.e. scalable to any number of views. For this purpose, the fractal coding scheme with the feature of resolution independence is examined, and is shown to be applicable to the 3-D image communication.

• Type: Conference
• Year: 1994
• Where: ICIP
• Authors: Takeshi Naemura, Hiroshi Harashima
• Keywords: 3-D Image Communication, ICIP 1994, Image Processing, Multi-view 3d Image, Multiview 3-d Image