Convert a blurry image to a sharp video using a continuous intensity function with E-CIR

Convert a blurry image to a sharp video using a continuous intensity function with E-CIR

E-CIR: Event-Enhanced Continuous Intensity Recovery
arXiv paper abstract https://arxiv.org/abs/2203.01935v1
arXiv PDF paper https://arxiv.org/pdf/2203.01935v1.pdf
GitHub https://github.com/chensong1995/E-CIR

A camera … sense light … During the exposure … motion between the scene and the camera causes motion blur

… presents E-CIR, which converts a blurry image into a sharp video represented as a parametric function from time to intensity.

E-CIR leverages events as an auxiliary input. … discuss how to exploit the temporal event structure to construct the parametric bases.

… demonstrate how to train a deep learning model to predict the function coefficients.

To improve the appearance consistency, … further introduce a refinement module to propagate visual features among consecutive frames.

Compared to state-of-the-art event-enhanced deblurring approaches, E-CIR generates smoother and more realistic results. …

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I apply innovative technologies like machine learning, computer vision, and physics to further an organization's goals. Am recognized innovator with 66 patents.