图像序列插值的经典和神经方法

S. Skoneczny, J. Szostakowski
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引用次数: 1

摘要

图像插值问题在许多领域都经常遇到。一些例子是用于传输目的的编码/解码过程的插值,在普通电视或高清电视中从两个交错的子帧重建一个完整的帧,或者在旧的被破坏的电影序列中重建缺失的帧。本文对帧间插值方法进行了综述。通过实例给出了直接插值和运动补偿插值两种方法。所使用的方法也可以是经典的,也可以是基于神经网络的,这取决于特定插值问题解决人员的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classical and neural methods of image sequence interpolation
An image interpolation problem is often encountered in many areas. Some examples are interpolation for coding/decoding process for transmission purposes, reconstruction 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 techniques are given by examples. The used methodology can also be either classical or based on neural networks depending on demand of a specific interpolation problem solving person.
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