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Classical and neural methods of image sequence interpolation

机译:图像序列插值的经典和神经方法

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摘要

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:在许多领域中经常会遇到图像插值问题。一些示例是用于传输目的的编码/解码过程的插值,从普通TV或HDTV中的两个隔行扫描子帧重构完整帧,或在旧的被破坏的电影序列中重构丢失的帧。本文概述了帧间插值方法。实例给出了直接和运动补偿插值(MCI)技术。根据特定插值问题解决人员的需求,所使用的方法也可以是经典方法,也可以基于神经网络。

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