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.
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页码：133 / 136
页数：4
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