基于自适应匹配伪序列的光场图像压缩
Light field image compression based on adaptive matching pseudo-sequence
王琳 1彭宗举 1张鹏 1韦玮 1陈芬1
作者信息
- 1. 重庆理工大学电气与电子工程学院,重庆 400054
- 折叠
摘要
近年来,光场图像作为一种新的数字图像形式,受到人们极大关注.光场图像具有维度高、信息量大等特点,存储和传输带宽压力巨大,成为其发展的瓶颈,提出一种基于自适应匹配伪序列的光场伪序列构建及压缩方法.首先根据微透镜中心点对原始图像进行重采样得到光场子孔径图像;然后利用光场图像相邻视图间的相关性重新构建伪序列,从而针对不同光场自适应地确定符合多功能视频编码器的光场图像最优编码次序;最后进行视频压缩.实验结果表明,本算法与VTM平台相比具有较好的压缩性能,BD-rate平均降低13.62％,优于其他对比算法.
Abstract
In recent years,light field images have received great attention as a new form of digital images.Light field images have the characteristics of high dimensionality and large amount of information,and the pressure on stor-age and transmission bandwidth has become a bottleneck in their development.In this paper,method for constructing and compressing optical field based on adaptive matching pseudo-sequence is proposed.Firstly,the original image is resampled based on the center point of the microlens to obtain the aperture image of the optical field;Then,by utili-zing the correlation between adjacent views of the light field image,a pseudo-sequence is reconstructed to adaptively determine the optimal encoding order of the light field image that conforms to the multi-functional video encoder for different light fields;Finally,perform video compression.Experimental results show that this algorithm has better com-pression performance than VTM platform,BD rate reduces by 13.62％on average,which is better than the other com-parison algorithm.
关键词
光场图像/图像匹配/光场编码/伪序列/相关性Key words
light field images/image matching/optical field encoding/pseudo-sequence/relevance引用本文复制引用
基金项目
重庆市自然科学基金(CSTB2022NSCQ-MSX0873)
重庆理工大学研究生教育高质量发展行动计划(gzlcx20233070)
出版年
2024
NETL
NSTL
万方数据