论文标题
基于卷积自动编码器的集成表示和压缩方案，具有4D DCT感知编码，用于高动态范围光场
An Integrated Representation & Compression Scheme Based on Convolutional Autoencoders with 4D DCT Perceptual Encoding for High Dynamic Range Light Fields
论文作者
论文摘要
新兴的和现有的光场显示器高度能够在无自动镜玻璃平台上对3D场景进行现实呈现。光场大小是利用3D显示和流媒体目的的主要缺点。当光场具有高动态范围时，大小会大大增加。在本文中，我们为高动态范围光场提出了一种新型的压缩算法，该算法在感知上无损压缩。该算法通过将其解释为四维体积来利用HDR光场的间和内部视图相关性。 HDR光场压缩基于一种新型的4DDCT-UCS（4D-DCT均匀颜色空间）算法。 HEVC通过HEVC获取的4DDCT-UCS获得的图像的其他编码消除了HDR Light Field数据中的框内，框架间和内在冗余。与JPEG-XL和HDR视频编码算法等最新编码器的比较表现出对现实世界光场提出的方案的卓越压缩性能。
The emerging and existing light field displays are highly capable of realistic presentation of 3D scenes on auto-stereoscopic glasses-free platforms. The light field size is a major drawback while utilising 3D displays and streaming purposes. When a light field is of high dynamic range, the size increases drastically. In this paper, we propose a novel compression algorithm for a high dynamic range light field which yields a perceptually lossless compression. The algorithm exploits the inter and intra view correlations of the HDR light field by interpreting it to be a four-dimension volume. The HDR light field compression is based on a novel 4DDCT-UCS (4D-DCT Uniform Colour Space) algorithm. Additional encoding of 4DDCT-UCS acquired images by HEVC eliminates intra-frame, inter-frame and intrinsic redundancies in HDR light field data. Comparison with state-of-the-art coders like JPEG-XL and HDR video coding algorithm exhibits superior compression performance of the proposed scheme for real-world light fields.
