Pixel domain spatio-temporal denoising for archive videos

被引：0

作者：

Gullu, M. Kemal ^{[1
]}

Urhan, Oguzhan ^{[1
]}

Erturk, Sarp ^{[1
]}

机构：

[1] Kocaeli Univ, Kocaeli Univ Lab Image & Signal Proc KULIS, Dept Elect & Telecommun Engn, TR-41040 Kocaeli, Turkey

来源：

COMPUTER AND INFORMATION SCIENCES - ISCIS 2006, PROCEEDINGS | 2006年 / 4263卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new pixel domain spatio-temporal video noise filter for archive film restoration has been proposed in this paper. The proposed filtering method takes motion changes and spatial information into account. Firstly, temporal filtering is carried out considering temporal changes adaptively. Afterwards, interpolation between degraded and temporally filtered images is carried out to preserve edge information using local standard deviation values. With respect to pixel domain techniques proposed in the literature, the proposed method gives better results for various test videos and particularly provides superior results for archive film.

引用

页码：493 / +

页数：3

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