期刊文献+

立体元图像阵列的分布式预测编码

Distributed prediction coding for elemental image array
下载PDF
导出
摘要 为解决组合立体成像系统中立体元图像阵列的存储和传输问题,采用分布式预测编码的方法对立体元图像阵列进行压缩.利用立体元图像间的像素关系,将立体元图像阵列变换成子图像阵列;根据子图像阵列的规律性变化,采用最优位移预测结合PRISM分布式编码结构对子图像阵列进行分级编码.实验结果表明,所提算法的率失真性能明显优于JPEG编码标准;在立体元图像阵列分辨率一定的情况下,组合立体成像系统的显示分辨率越高,本方法的压缩性能越好,对未来高分辨率显示的组合立体成像系统具有更好的适应能力. To solve the problem of storage and transmission of elemental image array in the integral imaging, the distributed prediction coding method is used to compress the elemental image array. First, the elemental image array is transformed to sub-image array according to the pixel relationship between the elemental images, then the hierarchical coding of the sub-image array is performed via the optimal displacement prediction combined with PRISM distributed coding structure in line with the regular changes of the sub-image arrays. The experiment results indicate that the method is obviously prior to the JPEG in the rate distortion property, and when the resolution of the elemental image array is fixed, the higher the display resolution of the integral imaging, the better the compression performance of the method, which will make it have better adaptability in the high display resolution integral imaging in the future.
出处 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2012年第11期87-91,95,共6页 Journal of Harbin Institute of Technology
基金 国家自然科学基金资助项目(U0935001) 吉林省科技发展计划基础研究项目(20090506) 吉林省科技发展计划项目(20100306)
关键词 组合立体成像 立体元图像阵列 子图像阵列 分布式编码 integral imaging elemental image array sub-image array distributed coding
  • 相关文献

参考文献13

  • 1LVES H E. Optical properties of a lippmann lenticulated sheet [ J ]. Journal of the Optical Society of America, 1931, 21(3) :171 - 176.
  • 2PARK J H, HONG K, LEE B. Recent progress in three- dimensional information processing based on integral imaging[J]. Applied Optics, 2009, 48(34): H77-H94.
  • 3FORMAN M C, AGGOUN A, MCCORMICK M. A novel coding scheme for full parallax 3D - TV pictures [ C ]//Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Munich, Germany : IEEE, 1997:2945 - 2947.
  • 4AGGOUN A. A 3D DCT compression algorithm for omnidirectional integral images [ C ]//Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Toulouse, France : IEEE, 2006 : II -517 - II -520.
  • 5JEON Ju-II, KANG Hyun-Soo. Enhanced three-dimensional discrete cosine transform based compression meth- od for integral images by adaptive three-dimensional block construction [ J ]. Journal of Applied Optics, 2010, 49(30) :5728 -5735.
  • 6ELHARAR E, STERN A, HADAR O, et al. A hybrid compression method for integral images using discrete wavelet transform and discrete cosine transform [ J ]. Journal of Display Technol, 2007, 3(3) :321 - 325.
  • 7YAN P, XIANYUAN Y. Integral image comprrssion based on optical characteristic [J]. Journal of IET Computer Vision, 2011, 5(3) :164 -168.
  • 8AGGOUN A, MAZRI M. Wavelet-based compression algorithm for still omnidirectional 3D integral images [ J ]. Journal of Signal Image and Video Process, 2008, 2(2) :141 -153.
  • 9AGGOUN A. Compression of 3D integral images using 3 D wavelet transform [ J ]. Journal of Display Technology, 2011, 7(11) :586 -592.
  • 10KANG H H, SHIN D H, KIM E S. Compression scheme of sub-images using Karhunen-loeve transform in three-dimensional integral imaging [ J ]. Journal of Optics Communications, 2008, 281 (14) :3640 - 3647.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部