CAJ | 학술논문

为了减小视频信号采集端的负担，提出一种基于压缩传感理论的视频压缩算法模型。该模型采用广义轮换矩阵获取视频帧的测量值，再结合视频压缩的运动补偿预测关键技术，消除视频帧间冗余。然后在并行贪婪追踪算法中引入前向预测技术作为重构算法，最终获取重构的压缩图像。实验对比了在不同算法下的重构图像和不同采样比下不同算法的重构PSNR值，然后利用所提方法得到视频序列的重构压缩图像。实验结果表明，该算法模型能较精确地获取压缩的视频图像，适合在视频压缩中应用。
위료감소시빈신호채집단적부담，제출일충기우압축전감이론적시빈압축산법모형。해모형채용엄의륜환구진획취시빈정적측량치，재결합시빈압축적운동보상예측관건기술，소제시빈정간용여。연후재병행탐람추종산법중인입전향예측기술작위중구산법，최종획취중구적압축도상。실험대비료재불동산법하적중구도상화불동채양비하불동산법적중구PSNR치，연후이용소제방법득도시빈서렬적중구압축도상。실험결과표명，해산법모형능교정학지획취압축적시빈도상，괄합재시빈압축중응용。
In order to reduce the load at video signal collection end, we propose a video compression algorithm model which is based on com-pressed sensing theory.The model adopts generalised rotation matrix to acquire the measured values of video frames and then combines the key technology of motion compensation prediction of video compression to remove redundancies between video frames.Next, it introduces the forward prediction technology to parallel greedy tracking algorithm as the reconstruction algorithm, and finally obtains the reconstructed com-pression images.In the experiments we compare the reconstructed images with different algorithms and the reconstructed PSNR values with different algorithms in different sampling ratios, and use the presented method to obtain the reconstructed compressive images of video se-quence.Experimental results indicate that more accurate compressed video images can be obtained by the proposed algorithm model, and it is suitable for application in video compression.