摘要
视频数据在时域和空域上都存在极强相关性,为此,对标准编码过程进行改进,将I帧空域分解为四个子帧,把P帧的预测方法引入I帧,充分利用空域相关性进行编码,克服标准方法只利用局部相关性的问题;同时,改进标准P帧编码只利用时域相关性压缩而忽略了空域相关性的缺点,将P帧做下采样形成分辨率为原图1/4的R帧,同时利用时域和空域相关性进行运动估计,完成预测编码。方法在降低编码复杂度的同时保证了恢复图像质量,测试结果表明,本方法对于运动不剧烈的视频,R-D性能曲线优于标准的方法,适用于低功耗的需求。
Video data has strong correlation in time and space. So, the standard coding process was improved. I-frame was divided into four sub-pictures, the prediction method of P frame was used for I frame, thus, it could make full use of the spatial correlation of video data, and the method couM overcome shortcoming of using local correlation in standard," at the same time, the standard of P frame coding was improved which was coded only using time-domain correlation compression without using the spatial correlation. P frame was down sampling as R frames which was 1/4 of original picture. R frame was encoded with both spatial correlation and temporal correlation. The method described could reduce the coding complexity and keep good reconstructed image quality. The test results show that for slow motion video, R-D performance curve of the method is better than that of the standard, which is suitable for low power demand.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2013年第9期2039-2043,共5页
Journal of System Simulation
基金
国家自然科学基金(61103124)
现代信息科学与网络技术北京市重点实验室资助(XDXX1301)
北京市自然科学基金资助项目(4123104)
关键词
视频
压缩
低功耗
空域相关性
时域相关性
video
compression
low-power consumption
spatial correlation
temporal correlation