DCVS中插值多假设预测重构算法  

Reconstruction using interpolation multihypothesis prediction for DCVS

作　　者：朱金秀[1,2] 张瑶[1,2] 张学武[1,2] 

机构地区：[1]河海大学物联网工程学院,江苏常州213022 [2]河海大学常州市传感网与环境感知重点实验室,江苏常州213022

出　　处：《计算机工程与设计》2016年第2期443-449,共7页Computer Engineering and Design

基　　金：国家自然科学基金项目(61273170);常州市科技支撑计划基金项目(CE20140079);中央高校基本科研业务费专项基金项目(2014B10129);江苏省科技创新基金项目(KYLX_0433)

摘　　要：结合视频编码系统中分像素精度运动估计的思想,对分布式视频压缩感知系统(DCVS)中插值多假设预测重构算法进行研究。根据自然图像像素连续特性,在传统帧内多假设集合的基础上,对关键帧进行插值构成字典,进行帧内插值多假设预测重构;根据视频序列中物体在帧间产生的位移量具有任意性的特点,在传统帧间多假设集合的基础上,对压缩感知帧进行插值构成字典,进行帧间插值多假设预测重构。实验结果表明,与多假设预测重构算法相比,该算法使视频序列重构质量提高了2dB-4dB。Coupling the concept of fractional-pixel interpolation with MH-CS,a fractional-pixel interpolation multihypothesis prediction（FPI-MH-CS）algorithm for distributed compressive video sampling（DCVS）was studied.For key frames,according to the continuity of natural image pixel,the dictionary for block-based intra-frame FPI-MH-CS was built by interpolating the hypothesis set of traditional intra-frame MH-CS.For CS frames,according to the randomicity of the displacement of moving objects between successive frames for video sequence,the dictionary for block-based inter-frame FPI-MH-CS was built by interpolating the hypothesis set of traditional inter-frame MH-CS.Experimental results demonstrate that compared with the MH-CS algorithm,the proposed method can improve the PSNR of sequences by 2dB-4dB.

关 键 词：分布式视频压缩感知 分像素运动估计 多假设预测 插值 重构算法 

分 类 号：TN919.8[电子电信—通信与信息系统]