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Research on compression performance of ultrahigh-definition videos

机译:超高清视频的压缩性能研究

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摘要

With the popularization of high-definition (HD) images and videos (1920 x 1080 pixels and above), there are even 4K (3840 x 2160) television signals and 8 K (8192 x 4320) ultrahigh-definition videos. The demand for HD images and videos is increasing continuously, along with the increasing data volume. The storage and transmission cannot be properly solved only by virtue of the expansion capacity of hard disks and the update and improvement of transmission devices. Based on the full use of the coding standard high-efficiency video coding (HEVC), super-resolution reconstruction technology, and the correlation between the intra-and the interprediction, we first put forward a "division-compensation"-based strategy to further improve the compression performance of a single image and frame I. Then, by making use of the above thought and HEVC encoder and decoder, a video compression coding frame is designed. HEVC is used inside the frame. Last, with the super-resolution reconstruction technology, the reconstructed video quality is further improved. The experiment shows that by the proposed compression method for a single image (frame I) and video sequence here, the performance is superior to that of HEVC in a low bit rate environment. (C) 2017 SPIE and IS&T
机译:随着高清(HD)图像和视频(1920 x 1080像素及更高)的普及,甚至还有4K(3840 x 2160)电视信号和8 K(8192 x 4320)超高清视频。随着数据量的增长,对高清图像和视频的需求不断增长。仅依靠硬盘的扩展能力以及传输设备的更新和改进,不能适当地解决存储和传输的问题。在充分利用编码标准高效视频编码(HEVC),超分辨率重建技术以及帧内和帧间预测之间的相关性的基础上,我们首先提出了一种基于“除法补偿”的策略进一步提高单个图像和帧I的压缩性能。然后,利用上述思想和HEVC编码器和解码器,设计了视频压缩编码帧。 HEVC用于框架内部。最后,借助超分辨率重建技术,可以进一步提高重建后的视频质量。实验表明,本文提出的针对单个图像(帧I)和视频序列的压缩方法在低比特率环境下的性能优于HEVC。 (C)2017 SPIE和IS&T

著录项

  • 来源
    《Journal of electronic imaging》 |2017年第6期|063008.1-063008.17|共17页
  • 作者单位

    Sichuan Univ, Image Informat Inst, Coll Elect & Informat Engn, Chengdu, Sichuan, Peoples R China|Northwest Univ Nationalities, Coll Elect Engn, Lanzhou, Gansu, Peoples R China;

    Sichuan Univ, Image Informat Inst, Coll Elect & Informat Engn, Chengdu, Sichuan, Peoples R China;

    Sichuan Univ, Image Informat Inst, Coll Elect & Informat Engn, Chengdu, Sichuan, Peoples R China;

    Sichuan Univ, Image Informat Inst, Coll Elect & Informat Engn, Chengdu, Sichuan, Peoples R China;

    Officers Coll Chinese Peoples Armed Police, Chengdu, Sichuan, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image compression; high-definition images; ultrahigh-definition videos; super-resolution; high-efficient video coding;

    机译:图像压缩;高清图像;超高清视频;超分辨率;高效视频编码;
  • 入库时间 2022-08-18 04:06:00

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