结合成像几何特征的立体元图像阵列编码

赵岩; 李丽; 王世刚

doi:10.3788/OPE.20182612.3060

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结合成像几何特征的立体元图像阵列编码

信息科学 | 更新时间：2020-07-05

- 结合成像几何特征的立体元图像阵列编码
- Elemental image array coding combining imaging geometry features
- 光学精密工程 2018年26卷第12期页码：3060-3066
- 作者机构：
  
  吉林大学通信工程学院, 吉林长春 130012
- 作者简介：
  
  [ "赵岩(1971-), 女, 吉林辽源人, 博士, 教授, 博士生导师, 1993年于长春邮电学院获得学士学位, 1999年于吉林工业大学获得硕士学位, 2003年于吉林大学通信工程学院获得博士学位, 主要从事图像与视频处理, 图像匹配, 多媒体信号处理, 在不可靠网络传输的音频与视频的错误隐藏等领域。E-mail:zhao_y@jlu.edu.cn" ]
  [ "李丽(1993-), 女, 吉林桦甸人, 硕士, 2016年于吉林大学通信工程学院获得学士学位, 主要从事集成成像编码的研究。E-mail:lil_93@163.com" ]
- 基金信息：
  
  国家自然科学基金资助项目(61771220);国家自然科学基金资助项目(1631009);国家十三五重点研发计划资助项目(2017YFB0404800);国家十三五重点研发计划资助项目(2017YFB1002900)
- DOI：10.3788/OPE.20182612.3060
  中图分类号： TP394.1
- 收稿日期：2018-04-27，
  
  录用日期：2018-6-16，
  
  纸质出版日期：2018-12-25
- 稿件说明：
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赵岩, 李丽, 王世刚. 结合成像几何特征的立体元图像阵列编码[J]. 光学精密工程, 2018,26(12):3060-3066.

Yan ZHAO, Li LI, Shi-gang WANG. Elemental image array coding combining imaging geometry features[J]. Optics and precision engineering, 2018, 26(12): 3060-3066.
赵岩, 李丽, 王世刚. 结合成像几何特征的立体元图像阵列编码[J]. 光学精密工程, 2018,26(12):3060-3066. DOI： 10.3788/OPE.20182612.3060.

Yan ZHAO, Li LI, Shi-gang WANG. Elemental image array coding combining imaging geometry features[J]. Optics and precision engineering, 2018, 26(12): 3060-3066. DOI： 10.3788/OPE.20182612.3060.

摘要

为了解决集成成像系统中立体元图像阵列存储和传输的问题，本文提出了一种结合成像几何特征的立体元图像阵列编解码算法。首先，根据立体元图像阵列采集过程中的相关物理参数确定不同立体元图像中同名像点的偏移量，对立体元图像阵列中每行相邻立体元图像进行分组并确定编码顺序。然后，确定待编码立体元图像的预测图并计算待编码立体元图像与其预测图的残差。最后，对残差进行HEVC编码。实验结果表明，与传统的HEVC帧内预测编码算法，以及与将立体元图像阵列中的所有立体元图像组成一个视频序列进行HEVC编码的算法相比，在相同比特率的情况下，本算法解码图像的质量提高了10~25 dB，说明本文提出的算法具有更高效的编码性能。

Abstract

To solve the problems of storage and transmission of elemental image arrays in the integrated imaging system

an elemental image array coding and decoding algorithm that combines imaging geometry features was proposed. First

the offset of the corresponding image points in different elemental images were determined according to relevant physical parameters in the process of collecting the elemental image arrays. In addition

adjacent elemental images of each row in the element image arrays were grouped

and their coding sequences were determined. Then

the prediction image of the elemental image to be encoded was determined

and the residual between the elemental image and its prediction map was calculated. Finally

the residual was coded using High Efficiency Video Coding (HEVC). The traditional HEVC intra-frame prediction coding algorithm

which was formed by all elemental images in the elemental image array

was compared with the proposed HEVC coding algorithm. The experimental results show that the quality of decoded images using the proposed algorithm improved from 10 dB to 25 dB under the same bit rate

demonstrating the efficient coding performance of the proposed algorithm.

关键词

Keywords

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