首页> 外文期刊>Applied optics >Hierarchical prediction structure for subimage coding and multithreaded parallel implementation in integral imaging
【24h】

Hierarchical prediction structure for subimage coding and multithreaded parallel implementation in integral imaging

机译:整体成像中子图像编码和多线程并行实现的分层预测结构

获取原文
获取原文并翻译 | 示例
           

摘要

We are concerned with the coding of subimage-transformed elemental images to solve the problems of data transmission and storage in three-dimensional (3D) integral imaging in this paper. First, we use the subimage transform for preprocessing of the elemental image array (EIA). Because of the similarity of correlation distributions between the subimage array (SIA) and multiview video, we present a hierarchical prediction structure for SIA coding based on the hierarchical B picture (HBP) structure for multiview video coding. Moreover, we design a multithreaded parallel implementation for the proposed structure according to inter-row prediction dependencies. Experiments are performed on both EIAs and SIAs. The results show that employing the same coding strategy, the proposed parallel implemented HBP scheme achieves not only higher image quality and better 3D effect but also lower coding delay at low bit rates compared with the previously reported Hilbert-curve-based scheme.
机译:本文关注子图像转换后的基本图像的编码,以解决三维(3D)整体成像中的数据传输和存储问题。首先,我们使用子图像变换对元素图像数组(EIA)进行预处理。由于子图像阵列(SIA)与多视图视频之间相关分布的相似性,我们基于用于多视图视频编码的分层B图片(HBP)结构,提出了一种用于SIA编码的分层预测结构。此外,我们根据行间预测依赖性为所提出的结构设计了多线程并行实现。在EIA和SIA上都进行了实验。结果表明,与以前报道的基于希尔伯特曲线的方案相比,采用相同的编码策略,所提出的并行实现的HBP方案不仅实现了更高的图像质量和更好的3D效果,而且在低比特率下实现了更低的编码延迟。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号