Phase-based motion estimation for noisy sequences

被引：0

作者：

Bruni, V. ^{[1
]}

De Canditiis, D. ^{[1
]}

Vitulano, D. ^{[1
]}

机构：

[1] CNR, Ist Applicaz Calcolo M Picone, I-00161 Rome, Italy

来源：

2007 14TH INTERNATIONAL WORKSHOP ON SYSTEMS, SIGNALS, & IMAGE PROCESSING & EURASIP CONFERENCE FOCUSED ON SPEECH & IMAGE PROCESSING, MULTIMEDIA COMMUNICATIONS & SERVICES | 2007年

关键词：

motion estimation; phase correlation method; fast Fourier transform; computational effort;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a novel approach for estimating affine motion in noisy image sequences. It exploits Fourier phase information by comparing the averaging of a group of frames and the convolution of the reference one with a Dirac comb function. A study of the estimation error in case of gaussian noise is also offered. The proposed approach outperforms available techniques in terms of quality and computational effort.

引用

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页码：133 / 136

页数：4

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