The Method of Image Alignment Based on Sharpness Maximization

被引：2
|
作者：
Tropin, Daniil V. [1 ,2 ]
Nikolaev, Dmitry P. [1 ,3 ]
Slugin, Dmitry G. [1 ,4 ]
机构：
[1] Smart Engines, Moscow, Russia
[2] MIPT, Dolgoprudnyi, Russia
[3] RAS, Inst Informat Transmiss Problems, Moscow, Russia
[4] Russian Acad Sci, Fed Res Ctr Comp Sci & Control Syst, Inst Syst Anal, Moscow, Russia
来源：
ELEVENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2018) | 2019年 / 11041卷
基金：
俄罗斯基础研究基金会;
关键词：
image analysis; image alignment; optical flow; FFT; RANSAC;
D O I：
10.1117/12.2522903
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper the method of image alignment based on average image sharpness maximization is proposed. The algorithm for global-shift model is investigated, its efficiency by applying FFT is shown. For projective model, an approach for image alignment using local shifts and RANSAC to obtain the final transform is considered. Experimental results for the system of document's reconstruction in a video stream increasing quality of output image are demonstrated.
引用
收藏
页数：8
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