自适应权重多方向视频图像修复技术

Multi-directional Error Recovery Using Adaptive Weight

视频序列经过低信噪比信道传输会丢失部分信息造成视频质量下降。本文主要针对视频传输中关键帧损失提出了自适应权重的多方向修复算法。该算法由八个单方向修复加权组成。通过已知相近区域的修复来估计破损区域修复点的误差,根据误差自适应地确定该方向修复结果的权重,进行加权。实验结果与原有空域算法相比,本文算法修复的质量在主观和客观上都有了较大的提高。

During transmission over error-prone networks, the compressed video signal may suffer a large drop in video quality for the block-based motion-compensation scheme. Error recovery is widely used in decoders to reconstruct corrupted regions. In this paper, we propose a new spatial error recovery method utilizing multi-directional inpainting. It contains eight single-directional inpaintings which perform symmetrical matching to search for suitable information and keep local continuity. We also present a adaptable weight method in which weight is set according to error estimation of each single-directional inpainting result. Experimental results show that the proposed method provides significant gains in both subjective and objective measurements.