Intra frame compression and video restoration based on conditional markov processes theory

被引：0
|
作者：
E. P. Petrov
E. V. Medvedeva
N. L. Kharina
M. K. Tchobanou
机构：
[1] Vyatka State University,
[2] National Research University “MPEI”,undefined
来源：
Multidimensional Systems and Signal Processing | 2016年 / 27卷
关键词：
Mathematical model of video; Conditional Markov processes theory; Image and video processing; Image and video compression; Non-linear video filtering; Additive white Gaussian noise;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Digital images and video have significant statistical redundancy due to high intra and inter-frame correlation. Modeling images and video using two-dimensional Markov processes with discrete states maximizes the use of images and video redundancy while processing. Intra-frame compression algorithm proposed below allows 2–3 times increase in processing speed for comparable compression ratios. Nonlinear filtering algorithm of video (distorted during transmission on a radio channel in terms of interference) allows effective video restoring even for negative signal/noise ratio unlike the known methods. A distinctive feature of this algorithm is ease of implementation with minimal computing resources.
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收藏
页码：719 / 742
页数：23
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