Title :
Interactive multiview image coding
Author :
Andriy Gelman;Pier Luigi Dragotti;Vladan Velisavljević
Author_Institution :
Communications and Signal Processing Group, Imperial College, London, UK
Abstract :
We propose a novel multiview compression method for multiview images. The algorithm supports random access for interactive applications and has low storage requirements. The fundamental component of the method is the layer-based representation, which partitions the dataset into redundant layers characterized by a constant depth value. We exploit the redundant property of each layer and remove the side information uncertainty using Distributed Source Coding (DSC) principles. In comparison to independent coding, our method achieves a PSNR improvement of 3dB. Furthermore, we present a rate-distortion (RD) analysis which demonstrates that the proposed algorithm can achieve a better performance in comparison to independent coding.
Keywords :
"Image coding","Signal processing algorithms","Bit rate","Transforms","Servers","Algorithm design and analysis","Data models"
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Print_ISBN :
978-1-4577-1304-0
DOI :
10.1109/ICIP.2011.6116622