Obtaining a noise-free image based on an analysis of an unstabilized video sequence under conditions of a probable optical flow failure

被引:0
|
作者
Korovin, Iakov [1 ]
Khisamutdinov, Maxim [2 ]
机构
[1] Southern Fed Univ, Taganrog, Russia
[2] Neuronetwork Technol Ltd, Taganrog, Russia
关键词
Harris corner; blobs detector; image stabilization; optical flow; Lucas-Kanade method; method of least squares; white gaussian noise; peak signal to noise ratio (PSNR);
D O I
10.1117/12.2559498
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In the paper we described a method for video sequence processing, which is resistant to shifts of an optical source under noisy conditions of video sequence individual frames. The noisiness of frames means blurring of individual frames of a video sequence due to sharp shifts of an optical source, data transfer artifacts or zoom operation during autofocus and consequently - as a result some defocused images series can be obtained. The novelty of the method lies in the combination of the approach of analyzing descriptors of local features of the image of graph algorithms and extrapolating the values of the camera offset by the least squares method at the moments of noise in the individual frames of the video sequence. We have depicted several experimental research results of the proposed method and a numerical comparison of qualitative characteristics with the existing ones.
引用
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页数:8
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