.png){kind=icon}
返回
Efficient Light Field Image Compression with Enhanced Random Access
.png){kind=icon}
PRE
AI
DOI：10.1145/3471905.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In light field image compression, facilitating random access to individual views plays a significant role in decoding views quickly, reducing memory footprint, and decreasing the bandwidth requirement for transmission. Highly efficient light field image compression methods mainly use inter view prediction. Therefore, they typically do not provide random access to individual views. On the other hand, methods that provide full random access usually reduce compression efficiency. To address this trade-off, a light field image encoding method that favors random access is proposed in this paper. Light field image views are grouped into independent 3 x 3 views, which are called Macro View Images (MVIs). To encode MVIs, the central view is used as a reference to compress its adjacent neighboring views using a hierarchical reference structure. To encode the central view of each MVI, the most central view along with the center of a maximum of three MVIs, are used as reference images for the disparity estimation. In addition, the proposed method allows the use of parallel processing to reduce the maximum encoding/decoding time-complexity in multi-core processors. Tile partitioning can also be used to randomly access different regions of the light field images. The simulation results show that the proposed method outperforms other state-of-the-art methods in terms of compression efficiency while providing random access to both views and regions of interest.
Keyword:
Light field
random access
image compression
HEVC
VVC
期刊
IF:
6
论文数:
2.0K
被引数:
5.4K
机构
引用论文
.png){kind=icon}
Mechanisms of salt-sensitive hypertension: role of renal medullary inducible nitric oxide synthase
PREAI
分享收藏分享收藏
分享收藏分享收藏
查看更多内容