Representation and coding of light field data
- 作者：Lelescu ; Dan ; Bossen ; Frank
- 刊名：Graphical Models
- 出版年：2004
- 期刊代码：130_15240703
- 类别：cp
- 出版时间：July, 2004
- 卷：66
- 期：4
- 页码：203-225
- 文件大小：620 K
摘要
Light Fields and Lumigraphs represent 4D parameterizations of the plenoptic function. Given the large amount of data and the nature of such representations, there are two main requirements for the effective processing of light fields. The light field data must be compressed efficiently for storage or communication purposes. Also, the coded light field representation should provide random access to the data for rendering purposes. Various techniques have been proposed to enable a more efficient representation and coding of the data, such as using vector quantization and Lempel–Ziv entropy coding of data, JPEG coding, or extensions of predictive coding schemes. Predictive coding provides very good compression efficiency but also introduces referencing-related dependencies in the coded data that hinder the data access required for view synthesis. In this paper, we present a new approach for representing and coding Light Field data by using a statistical representation based on Principal Components Analysis. The proposed approach offers an efficient representation and coding in the rate-distortion sense, enables random access to pixels in the images containing information required for virtual view synthesis, and provides straightforward scalability.