Scalable coding and progressive transmission of concentric mosaic using nonlinear filter banks
King-To Ng, S. C. Chan, Heung-Yeung Shun · 2002
This paper studies the scalable coding and progressive transmission of concentric mosaic to support interactive applications over a LAN or the Internet. Concentric mosaic is an effective 3D image based representation of a static scene. A typical concentric mosaic might consist of thousands of images, which poses significant problem in digital storage and transmission. A new multiresolution decomposition for supporting progressive transmission of a concentric mosaic is proposed. Instead of using the popular 9/7 wavelet filterbank, a nonlinear perfect reconstruction filter bank with lower arithmetic complexity is employed. It also considerably simplifies the random access operation of the slit images during rendering. By encoding the subband signals into different layers, a scalable compressed bit stream of the concentric mosaic is obtained. Therefore, progressive transmission of concentric mosaic, using a combination of these layers, to support devices with different capabilities become possible.