Motion Blur Concealment of Digital Video Using Invariant Features
This paper deals with concealment of motion blur in image sequences. The approach is different from traditional methods, which attempt to deblur the image. Our approach utilizes the information in consecutive frames, replacing blurred areas of the images with corresponding sharp areas from the previous frames. Blurred but otherwise unchanged areas of the images are recognized using blur invariant features. A statistical approach for calculating the weights for the blur invariant features in frequency and spatial domains is also proposed, and compared to the unweighted invariants in an ideal setting. Finally, the performance of the method is tested using a real blurred image sequence. The results support the use of our approach with the weighting scheme.
KeywordsPoint Spread Function Receiver Operating Characteristic Curve Invariant Feature Image Block Motion Blur
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- 5.Matsushita, Y., Ofek, E., Tang, X., Shum, H.Y.: Full-frame video stabilization. In: IEEE International Conference on Computer Vision and Pattern Recognition, San Diego, CA, USA, pp. 50–57 (2005)Google Scholar
- 9.Wang, Y., Ostermann, J., Zhang, Y.Q.: Video processing and communications. Prentice-Hall signal processing series. Prentice-Hall, Upper Saddle River (2002)Google Scholar