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.
翻译:在 Light Field 压缩中,基于图形的编码对于利用非常规形状的信号冗余和获得良好的能量压缩作用很大,但是,除了处理高维图形的时间复杂性很高之外,它们的图形构建方法对于各种观点之间信息的准确性非常敏感。在现实世界中,计算机软件生成的光场或合成光场,使用悬殊信息进行超级射线投影可能由于挥发效应和两种类型的光场之间观点的巨大差异而出现不准确性。本文介绍了两种新颖的预测方案,导致差异信息中的误差减少,其中一种预测方案还可以大大减少对编码器和解码器的时间计算。实验结果显示,利用这些提议,与原投影计划和基于 HEVC 或基于 JPEG Pleno 的编码方法相比,超像素的投影质量可以大大提高。