Rate-distortion analysis of random access for compressed light fields
Rate-distortion analysis of random access for compressed light fields
复制标题
压缩光场随机访问的率失真分析
DOI：
10.1109/icip.2004.1421601
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
B. Girod
中科院分区：
文献类型：
--
作者：
P. Ramanathan;B. Girod
基于图像的渲染数据集（例如光场）由于其数据大小大而需要有效压缩，但在从数据集渲染时也需要容易的随机访问。有效的压缩通常依赖于图像之间的预测，这在它们之间产生了依赖性，与具有容易的随机访问的要求相冲突。现有的光场编码器集中于压缩效率，或者使用自组织方法来设计平衡随机访问和压缩效率要求的预测。在本文中，我们研究这个联合问题的压缩效率和随机访问。我们提出了一个模型的光场图像生成，光场图像编码和渲染新的意见，从这些光场图像。我们提出了一个视图相关的率失真措施，使我们能够同时考虑随机访问和压缩效率。我们从我们的DCT为基础的编码器的实验结果，从模型的理论结果进行比较，并表明，他们定性地给出了类似的结果。最后，我们建议如何。利用该模型，我们可以更好地优化编码器中的预测依赖结构，以获得随机访问和压缩效率性能。
Image-based rendering data sets, such as light fields, require efficient compression due to their large data size, but also easy random access when rendering from the data set. Efficient compression usually depends upon prediction between images, which creates dependencies between them, conflicting with the requirement of having easy random access. Existing light field coders concentrate either on compression efficiency, or use ad hoc methods to design prediction that balances random access and compression efficiency requirements. In this paper, we study this joint problem of compression efficiency and random access. We propose a model for light field image generation, light field image coding and rendering novel views from these light field images. We present a view-dependent rate-distortion measure that allows us to consider random access and compression efficiency simultaneously. We compare the theoretical results from the model with the experimental results from our DCT-based coder and show that they qualitatively give similar results. Finally, we suggest how. with this model, we can better optimize the prediction dependency structure in our coder for random access and compression efficiency performance.