30 November 2012 Depth field problem in electronic image stabilization
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Proceedings Volume 8558, Optoelectronic Imaging and Multimedia Technology II; 85581H (2012); doi: 10.1117/12.981938
Event: Photonics Asia, 2012, Beijing, China
Abstract
For electronic image stabilization process of the image sequence, the target scenes in different depth of image field have different motion vectors. There is not a compensation amount can stable both close-range and long-range target scene. This article from the optical imaging model analysis the reasons, aimed at greater depth of field distribution within the scope of the video sequence, using Harris corner algorithm detection in different depth of field goal of characteristic points, and feature matching, Calculation of different depth to the target motion vector validation previous theoretical derivation. Proposed a motion vector compensation method based on electronic image stabilization image quality assessment. Compensate the image after adjust the distribution of motion vector on the assessment feedback of the image inter-frame differential map. Results show that the motion vector compensation effect in the optimization of the value is better than the global motion vector compensation.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chen Huang, Xin Gao, Jian-jun Wang, Zhi-tao Li, "Depth field problem in electronic image stabilization", Proc. SPIE 8558, Optoelectronic Imaging and Multimedia Technology II, 85581H (30 November 2012); doi: 10.1117/12.981938; https://doi.org/10.1117/12.981938
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KEYWORDS
Cameras

Fourier transforms

Image processing

Image quality

Imaging systems

Motion models

Image filtering

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