Light field image compression based on quality aware pseudo-temporal sequence
Light field image compression based on quality aware pseudo-temporal sequence
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DOI：
10.1049/el.2017.4560
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发表时间：
2018-03
影响因子：
1.1
通讯作者：
Yu Liu;Ce Zhu;Min Mao
中科院分区：
文献类型：
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作者：
Yu Liu;Ce Zhu;Min Mao
当前，可以通过光场摄像头捕获原始光场图像，并分解为具有不同感知质量的多视图。基于此观察结果，提出了一种新型的光场图像图像，其中原始光场图像被分解为多视图作为伪序列框架，并根据其感知质量重新排序。然后，由高效视频编码（HEVC）编码器压缩所得的伪周期序列。实验结果表明，与使用HEVC的最先进的重新排序技术相比，提出的方法可以实现更好的编码性能（最多28％的Bjontegaard三角洲比特率降低（BDBR）节省）。
Currently, a raw light field image can be captured by a light field camera and decomposed into multi-views with different perceptual quality. A novel light field compression approach for a light field image is proposed based on this observation, where the raw light field image is decomposed into multi-views as pseudo-sequencing frames and reordered according to their perceptual quality. The resulting pseudo-temporal sequence is then compressed by high-efficiency video coding (HEVC) encoder. Experimental results show that the proposed method can achieve a better coding performance (up to 28% Bjontegaard delta bit rate reduction (BDBR) savings) compared with state-of-the-art reordering techniques using HEVC.