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Classical and neural methods of image sequence interpolation

机译:图像序列插值的古典和神经方法

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An image interpolation problem is often encountered in many areas. Some examples are interpolation for coding/decoding process for transmission purposes, reconstructing a full frame from two interlaced sub-frames in normal TV or HDTV, or reconstruction of missing frames in old destroyed cinematic sequences. In this paper an overview of interframe interpolation methods is presented. Both direct as well as motion compensated interpolation (MCI) techniques are given by examples. The used methodology can also either classical or based on neural networks depending on demand of a specific interpolation problem solving person.
机译:许多领域通常遇到图像插值问题。一些示例是用于发送目的的编码/解码过程的插值,用于传输目的,从正常电视或HDTV中的两个隔行扫描子帧重建全帧,或者在旧的被破坏的电影序列中重构丢失帧。本文提出了帧间插值方法的概述。通过示例给出直接以及运动补偿插值(MCI)技术。使用的方法也可以是经典的或基于神经网络,具体取决于特定插值问题解决人员的需求。

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