视频传输中基于Gibbs随机场模型的错误隐藏方法

恶劣的信道传输质量将会引起数据丢包和误码传输等现象，严重影响视频图像质量．为了提高错误图像质量，本文先利用帧间错误隐藏方法恢复部分变化量小的数据块，再利用差错块的相邰区域方向梯度分布，建立一个Gibbs随机场模型，并通过迭代求出剩余差错块．作为一种优质的图像建模方法，Gibbs随机场和利用差错块周围的已知像素信息来模拟丢失的图像区域，该区域与邻域图像有同样的分布参数，并能在边界处与邻域图像和谐的融合在一起．实验结果表明，与同类算法比较，该算法视频恢宴的效果良好，并且计算宴杂度比较简单．

Error Concealment Method Based on Gibbs Random Field Model in Video Communications

Bad signal channel transmission quality leads to data loss and bit transmission errors, which greatly affect video image quality. In order to improve error image quality, an inter-frame method is firstly used to recover some data blocks with small movement; then according to the directional gradient distribution of neighboring blocks, this paper establish a Gibbs Random Field (GRF) model and recover the remain blocks by iteration. As a high quality image model method, GRF uses the pixels around the missing image blocks to estimate the missing blocks. The estimated blocks have same distribution parameters with the neighboring blocks, and can be well connected with other blocks along the edges. Experiments show that video quality is improved and the computational complexity of this method is quite acceptable.