CAJ | 학술논문

为了改进分布式视频压缩感知方案的性能,提出了一种基于残差重构的分布式视频压缩感知方案.该方案在编码端逐帧独立进行测量,在解码端依靠视频信号的时域相关性提升重构信号质量.首先,对关键帧独立进行重构;其次,利用已重构关键帧做运动估计/运动补偿以生成非关键帧的边信息;接下来,对边信息采用与编码端相同的测量矩阵进行测量并计算测量残差值;最后,采用全变分最小化重构残差信号值并将其与边信息相加生成最终的重构图像.实验结果表明,在相同采样率下,与已有的分布式视频压缩感知方案相比,提出的方案可获得2.8 d B以上的峰值信噪比增益.
위료개진분포식시빈압축감지방안적성능,제출료일충기우잔차중구적분포식시빈압축감지방안.해방안재편마단축정독립진행측량,재해마단의고시빈신호적시역상관성제승중구신호질량.수선,대관건정독립진행중구;기차,이용이중구관건정주운동고계/운동보상이생성비관건정적변신식;접하래,대변신식채용여편마단상동적측량구진진행측량병계산측량잔차치;최후,채용전변분최소화중구잔차신호치병장기여변신식상가생성최종적중구도상.실험결과표명,재상동채양솔하,여이유적분포식시빈압축감지방안상비,제출적방안가획득2.8 d B이상적봉치신조비증익.
@@@@To improve the performance of Distributed Compressed Video Sensing(DCVS),a residual reconstruc-tion based DCVS framework is proposed. The proposed framework samples each video frame independently at the encoder. However,it recovers frames at the decoder by exploiting inter frame correlation. Firstly,the key frame of a Group of Pictures(GOP)is independently reconstructed. Secondly,Side Information(SI)is generated by performing bi-directional Motion Estimation(ME)and Motion Compensation(MC)through the reconstructed key frames. Afterwards,the generated SI frame is sampled by the same matrix as the one at the encoder,and the measurement of SI is used to calculate the residual of measurement. Finally,total variation minimization is ap-plied to reconstruct the residual signal,and the output frame is formed by adding SI to the residual signal. Ex-perimental results show that compared with the existing DCVS method,the proposed one can get more than 2.8 dB Peak Signal to Noise Ratio(PSNR)increment at the same sampling rate.