Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
An introduction to genetic algorithms
An introduction to genetic algorithms
Deconvolution of images and spectra (2nd ed.)
Deconvolution of images and spectra (2nd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Image Registration with Global and Local Luminance Alignment
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Two motion-blurred images are better than one
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
A Graph Cut Algorithm for Generalized Image Deconvolution
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Coded exposure photography: motion deblurring using fluttered shutter
ACM SIGGRAPH 2006 Papers
Gradual distributed real-coded genetic algorithms
IEEE Transactions on Evolutionary Computation
Resolution enhancement of color video sequences
IEEE Transactions on Image Processing
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In this paper, a novel approach is proposed to remove the motion blur from a video, which is degraded and distorted by fast camera motion. Our approach is based on the image statistics rather than the traditional motion estimation. The image statistics has been successfully applied for blind motion deblurring for a single image by Fergus et al [3] and Levin [10]. Here a three-stage method is used to deal with the video. First, the "unblurred" frames in the video can be found based on the image statistics. Then the blur functions can be obtained by comparing the blurred frames with the unblurred ones. Finally a standard deconvolution algorithm is used to reconstruct the video. Our experiments show that our algorithms are efficient.