基于几何结构的自适应空域错误隐藏算法

针对视频传输时容易发生损坏或丢失数据的问题,提出一种基于几何结构的自适应空域错误隐藏算法,以提高恢复图像质量。利用受损宏块的相邻2层像素提取几何结构,依据受损块相邻像素区分平滑块和边缘块。对平滑块采用双线插值,对边缘块根据内外两层的转折点寻找边缘方向,从而划分区域插值运算。实验结果表明,对于不同宏块丢失率和不同的视频序列,该算法所恢复的视频序列的峰值信噪比比双线插值、方向插值算法提高了0.5 dB~3 dB,不仅避免了虚假边缘,而且也提高了方向插值的准确性,改善了恢复图像的主观效果。

Adaptive Spatial Error Concealment Algorithm Based on Geometric Structure

Aiming at the characteristic of damage or lose data during video transmission, an algorithm of adaptive spatial error concealment based on geometric structure is proposed, which can recover the quality of image better. The two nearest surrounding layers of pixels are used to extract the local geometric structure. The proposed algorithm makes use of surrounding pixels of a damaged block to distinguish between smooth block and edge block. Bilinear Interpolation（BI） is used to process smooth block, while edge block makes use of the transition point to detect the edge direction and the lost Macro Block（MB） is partitioned into segments. Each pixel in segments directionally interpolated from the boundary pixels are adjacent to the segments. Experimental results show that the value of Peak Signal to Noise Ratio（PSNR） of reconstructed video is higher than that of BI and Directional lnterpolation（DI） by 0.5 dB-3 dB for different rates of lost MB and different video sequences. The proposed algorithm can not only achieve good directional interpolation but also avoid fake edges. The image＇s subjective effect has great improvement.