A Total Variation Motion Adaptive Deinterlacing Scheme
A Total Variation Motion Adaptive Deinterlacing Scheme
复制标题
一种全变分运动自适应去隔行方案
DOI：
10.1007/11408031_35
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
M. Nielsen
中科院分区：
文献类型：
--
作者：
S. Keller;F. Lauze;M. Nielsen
我们提出了一种利用全变分格式的去隔行方法。从总变分的贝叶斯推理公式开始，我们通过将问题重写为可通过简单数值格式解决的偏微分方程来进行MAP。通常情况下，去隔行方案是直接在线硬件实现的，有时只以一些频率分析作为理论基础。我们的信念是，需要基于数学的图像模型来进行最佳的去隔行处理，并且通过我们在这里提出的工作，我们希望证明这一点。将该方法的输出与已知的十种去隔行方法的输出进行比较，结果非常令人满意。
We propose a new way of deinterlacing using a total variation scheme. Starting by the Bayesian inference formulation of total variation we do MAP by rewriting the problem into PDEs that can be solved by simple numerical schemes. Normally deinterlacing schemes are developed ad hoc with online hardware implementation directly at eye, sometimes with some frequency analysis as only theoretical base. Our belief is that mathematically well based image models are needed to do optimal deinterlacing and by our work presented here, we hope to prove it. Comparing the output of our scheme with those of ten known deinterlacing schemes shows very promising results.