Journal
TWELFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2019)
Volume 11433, Issue -, Pages -Publisher
SPIE-INT SOC OPTICAL ENGINEERING
DOI: 10.1117/12.2559498
Keywords
Harris corner; blobs detector; image stabilization; optical flow; Lucas-Kanade method; method of least squares; white gaussian noise; peak signal to noise ratio (PSNR)
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Funding
- RFBR [17-29-03407]
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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.
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