Resolution enhancement of ROI from surveillance video using Bernstein interpolation

In visual surveillance system, a small region-of-interest (ROI) is in most cases set for the target to detect, track, and recognize. In this paper, we propose novel image restoration algorithm using stochastic data regularization (i.e. Bernstein interpolation) in real world surveillance video. We firstly demonstrate the capability of Bernstein function for image enhancement technique such as denoising or deblurring. In addition, a promising approach for Super Resolution algorithm via Bernstein interpolation is also proposed. Representative experimental results prove the effectiveness of the proposed method for ROI from synthetic and real image sequences.