有效重聚焦的光场图像编码

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC) Pub Date : 2018-09-01 DOI:10.1109/MCSoC2018.2018.00024

V. V. Duong, Thuong Nguyen Canh, B. Jeon

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引用次数: 4

摘要

在基于视频的光场图像编码中，研究人员经常对子孔径图像(SAIs)的一个选定子集进行编码。该子集被启发式地从完整的15x15 sai中选择为9x9、11x11或13x13 sai。以前的工作只关注压缩效率，而没有光场功能，如重新聚焦。本文评价了选择sar子集不仅对压缩质量的影响，而且对重聚焦光场图像质量的影响。提出了一种SAIs子集，以获得可比较的压缩性能和高质量的重聚焦图像。与完整的15x15 SAIs相比，我们的方法在压缩角度上降低了18.4%的比特率，同时保持了良好的重聚焦图像质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Light Field Image Coding for Efficient Refocusing

In video-based light field image coding, researchers often encode a selected subset of sub-aperture images (SAIs). The subset is heuristically selected as 9x9, 11x11, or 13x13 SAIs out of full 15x15 SAIs. Previous work has focused only on the compression efficiency without light field functionality such as refocusing. This paper evaluates the impact of selecting subset of SAIs not only on the compression quality but also on the quality of refocused light field image. A subset of SAIs is proposed to achieve both comparable compression performance and good quality of the refocused images. Compared to full 15x15 SAIs, our method reduces bitrate by 18.4% in viewpoint of compression and at the same time, maintains a good quality of refocused images.

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来源期刊

2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC)

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