论文标题
基于图的光场编码的新型投影方案
Novel projection schemes for graph-based Light Field coding
论文作者
论文摘要
在光场压缩中，基于图的编码功能强大，可以利用沿着不规则形状的信号冗余并获得良好的能量压实。但是，除了高度复杂性到处理高维图外，它们的图形构造方法对观点之间的差异信息的准确性非常敏感。在计算机软件生成的现实世界光场或合成光场中，由于渐晕效果和两种类型的光场视图之间的视图之间的巨大差异，使用差异信息可能会遭受不准确性。本文介绍了两种新型投影方案，导致差异信息的错误较小，其中一种投影方案还可以显着降低编码器和解码器的时间计算。实验结果表明，与原始投影方案以及基于HEVC或基于JPEG PLENO的编码方法相比，使用这些建议可以大大提高超级像素的投影质量，以及速度延伸性能。
In Light Field compression, graph-based coding is powerful to exploit signal redundancy along irregular shapes and obtains good energy compaction. However, apart from high time complexity to process high dimensional graphs, their graph construction method is highly sensitive to the accuracy of disparity information between viewpoints. In real world Light Field or synthetic Light Field generated by computer software, the use of disparity information for super-rays projection might suffer from inaccuracy due to vignetting effect and large disparity between views in the two types of Light Fields respectively. This paper introduces two novel projection schemes resulting in less error in disparity information, in which one projection scheme can also significantly reduce time computation for both encoder and decoder. Experimental results show projection quality of super-pixels across views can be considerably enhanced using the proposals, along with rate-distortion performance when compared against original projection scheme and HEVC-based or JPEG Pleno-based coding approaches.
