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Epipolar Plane Image-Based Lossless and Near-Lossless Light Field Compression

机译:基于截图的基于模拟的无损和近无损光场压缩

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摘要

Recent advances in the computer technology has enabled many theoretical ideas in computer vision to become practical also within camera technology. Light field technology aims at replacing the traditional camera design by acquiring the intensity of light rays to realize advanced applications in media and medical industries. The abundant amount of information poses high processing, transmission and storage requirements. Therefore, a need for efficient compression has gained researchers attention in this area. We present EPIC, an efficient lossless compression scheme for light field images which extends CALIC by exploiting light field structure. We have shown that the proposed scheme achieves around 6% improvement in compression performance relative to HEVC-lossless anchor with a significant reduction in the encoding time. We have also extended the proposed method for the near-lossless case which achieves similar rate-distortion performance as HEVC-lossy anchor in addition to a high encoding efficiency and a guaranteed-error bound.
机译:电脑技术的最新进展使计算机愿景中的许多理论思想也在相机技术中变得实用。光场技术旨在通过获取光线强度来更换传统的相机设计,以实现媒体和医疗行业的先进应用。丰富的信息量会带来高处理,传输和存储要求。因此,需要高效压缩的研究人员在该领域中受到关注。我们展示史诗,一种高效的无损压缩方案,用于通过利用光场结构来延伸酸性的光场图像。我们已经表明,所提出的方案实现了相对于HEVC无损锚的压缩性能提高约6%,在编码时间显着降低。除了高编码效率和保证误差绑定之外,我们还扩展了近无损壳体的近无损壳体作为HEVC损耗锚定的近无损壳体的方法。

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