Depth Field Problem in Electronic Image Stabilization

摘要

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.