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Explore the novel hybrid camera stabilization technique and compare blurred image deblurring results. This project presents a groundbreaking approach using traditional camera techniques and flutter shutter technology. Gain insights into motion blur deconvolution and the effectiveness of coded exposure methods. Our contribution enhances previous work in the field, providing a stable and efficient solution with minimal post-processing. Discover the innovative approach through MATLAB implementation and ground truth comparisons. License plate retrieval and background edge handling are integral parts of the study, ensuring comprehensive results in camera shake removal. Acknowledging the significance of single-line MATLAB code, the study emphasizes the practical implementation and efficiency of the proposed method.
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Rectified Crop Deblurred Result
Input Photo Deblurred Result
Traditional Camera Shutter is OPEN
Our Camera Flutter Shutter
Implementation Completely Portable
Blurring == Convolution Sync Function Traditional Camera: Box Filter
Preserves High Frequencies!!! Flutter Shutter: Coded Filter
Inverse Filter stable Inverse Filter Unstable
Long Exposure Coded Exposure Short Exposure Our result Matlab Lucy Ground Truth
Hybrid Camera Stabilization Related Work
Hybrid Camera Stabilization Blind Deconvolution
Our Contribution Previous Work
Solving: Single Line of Matlab Code No Post Processing!
Are all codes “good”? All ones Alternate Random Our Code
. • . Background Cases
× Cannot handle background edges in blur