Digital image reconstruction by using row pre-distortion and third-order moment function estimation

被引：0

作者：

机构：

[1] Tampere University of Technology, Institute of Signal Processing, Tampere FIN-33101

[2] National Aerospace University, Kharkiv, 61070

来源：

Totskiy, A.V. (totskiy@xai.edu.ua) | 2013年 / Begell House Inc.卷 / 72期

关键词：

Bispectral density; Image reconstruction; Jitter; Pixel;

D O I：

10.1615/TelecomRadEng.v72.i6.30

中图分类号：

学科分类号：

摘要：

The problem of search the optimal parameters of additive and multiplicative pre-distortion functions that are used for reconstruction the digital images corrupted by jitter and mixture of the additive Gaussian and impulsive noise is considered. The results of processing different kinds of test images are represented by using row-by-row image restoration with third-order moment function estimation. Performance of proposed techniques and image reconstruction accuracy are studied by computer simulations. It is shown that the suggested techniques can effectively remove heavy jitter distortions in the background of the additive Gaussian and impulsive noise. © 2013 by Begell House, Inc.

引用

页码：485 / 494

页数：9

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