摘要
该文对于由网络传输错误导致的图像数据丢失,提出了对丢失图像信息的最优估计模型。同时针对变换编码图像数据丢失提出了一种基于变换域利用相邻子块的边界信息估计受损子块信息的技术,以及对丢失信息最优估计的实现算法与信噪比增益的解析形式。实验结果表明,重建图像信噪比可提高10—20dB,主观质量从1级可改善达到3—4级,同现有的其他方案相比,低频与高频信息的恢复效果都有改善,同时算法简单,易于实现。
This paper considers the modei of optimal estimation of image information when some of the image data are lost due to transmission errors. A new technology is proposed for image recovery in transform coding based on the boundary information of adjacent blocks, the algorithm for estimating the optimal solution and the analytical form of the gain of SNR. Experimental results show that when SNR increases 10-20 dB, the visual quality can improve from 1 to 3 or 4. Compare with the other theme, the algorithm proposed in this paper improves the quality of both low and high frequency information and can easily be implemented.
出处
《电子与信息学报》
EI
CSCD
北大核心
2001年第3期215-220,共6页
Journal of Electronics & Information Technology
