目前可视电话等应用对人脸图像质量要求很高,为了解决这一问题,提出一种基于人脸五官特征的空域差错掩盖(FFSEC)算法。首先利用边缘检测技术对丢失块进行分类,以完成初步差错掩盖;然后使用肤色分割技术提取肤色区域;最后利用模式识别技术获取眼睛的具体位置,根据五官的相对位置以及具体特征对其进行插值差错掩盖。采用H.264的JM11模型对算法进行仿真验证,实验结果表明,FFSEC算法相对于现有的基于人脸特征的自适应差错掩盖算法(BFASEC),在丢包率较大的情况下,峰值信噪比(PSNR)提升了约0.5~1.5 dB,视觉效果提升明显。

Nowadays, advances in videophone place higher quality on human facial images. To tackle this issue, a new spatial error concealment algorithm based on the facial features (FFSEC)is proposed in this paper. The algorithm is constituted by three steps. First, the lost blocks are classified by the edge detection technique so as to finish the preliminary error concealment. Second, the facial area is extracted by the facial partition technique. Finally, an interpolation is implemented according to the relative position and specific feature of the five organs, where the position of eyes is obtained by the pattern recognition technique at first. JM11 model of H.264 standard is used to evaluate this FFSEC algorithm. Simulation results showed that compared with the existing adaptive spatial error concealment based on face features (BFASEC)algorithm, when the packet dropping probability is too large, the FFSEC algorithm achieved better visual quality, with 0.5~1.5 dB gain in PSNR.