This paper proposes a novel light field image compression approach with viewpoint scalability and random access functionalities. Although current state-of-the-art image coding algorithms for light fields already achieve high compression ratios, there is a lack of support for such functionalities, which are important for ensuring compatibility with different displays/capturing devices, enhanced user interaction and low decoding delay. The proposed solution enables various encoding profiles with different flexible viewpoint scalability and random access capabilities, depending on the application scenario. When compared to other state-of-the-art methods, the proposed approach consistently presents higher bitrate savings (44% on average), namely when compared to pseudo-video sequence coding approach based on HEVC. Moreover, the proposed scalable codec also outperforms MuLE and WaSP verification models, achieving average bitrate saving gains of 37% and 47%, respectively. The various flexible encoding profiles proposed add fine control to the image prediction dependencies, which allow to exploit the tradeoff between coding efficiency and the viewpoint random access, consequently, decreasing the maximum random access penalties that range from 0.60 to 0.15, for lenslet and HDCA light fields.

本文提出了一种具有视点可扩展性和随机访问功能的新颖的光场图像压缩方法。尽管当前用于光场的最新图像编码算法已经实现了高压缩率，但仍缺乏对此类功能的支持，这对于确保与不同的显示/捕获设备的兼容性，增强的用户交互性和低解码非常重要。延迟。根据应用场景，所提出的解决方案可以实现具有不同的灵活视点可伸缩性和随机访问功能的各种编码配置文件。与其他最新技术相比，该方法始终具有更高的比特率节省（平均44％），即与基于HEVC的伪视频序列编码方法相比。而且，拟议的可扩展编解码器还胜过MuLE和WaSP验证模型，分别实现了平均比特率节省收益37％和47％。提出的各种灵活的编码配置文件增加了对图像预测依赖性的精细控制，从而允许利用编码效率和视点随机访问之间的折衷，因此，对于小透镜和HDCA光，最大随机访问惩罚从0.60降低到0.15。领域。