基于数据挖掘的三维图像无损恢复研究Research on 3D image lossless restoration based on data mining
王丹
摘要(Abstract):
三维图像在获取、存储和传递时,由于受成像系统、传输方式、存储时间和存储介质等多种因素的影响,图像质量会产生一定的退化,严重的情况下会导致图像失真,影响使用。传统三维图像恢复方法多以线性分析为基础,假设条件多、运行耗时长、图像恢复效果差。为此,提出一种基于数据挖掘的三维图像无损恢复方法。依据图像变化的关联规则原理,分析三维图像成像的过程,并对其非相干成像条件做离散化处理;深度挖掘图像退化前后灰度变化的关联关系,并基于这种关联关系对原图像进行最大后验估计和先验计算,实现对三维图像的无损恢复。实验数据表明,提出的三维图像恢复方法运行时间短、均值误差低,具有良好的图像恢复效果。
关键词(KeyWords): 关联规则;三维图像;图像失真;离散化处理;无损恢复;后验估计
基金项目(Foundation):
作者(Author): 王丹
DOI: 10.16652/j.issn.1004-373x.2018.07.017
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