Estimating the 3D direction of a translating camera from a single motion-blurred image
Pattern Recognition Letters
Blurred image recognition by Legendre moment invariants
IEEE Transactions on Image Processing
Space-variant deblurring using one blurred and one underexposed image
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Blind deblurring of foreground-background images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Blind and semi-blind deblurring of natural images
IEEE Transactions on Image Processing
Local object-based super-resolution mosaicing from low-resolution video
Signal Processing
Disparity-based space-variant image deblurring
Image Communication
Image-pair-based deblurring with spatially varying norms and noisy image updating
Journal of Visual Communication and Image Representation
Shape from Sharp and Motion-Blurred Image Pair
International Journal of Computer Vision
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We examine the problem of restoration from multiple images degraded by camera motion blur. We consider scenes with significant depth variations resulting in space-variant blur. The proposed algorithm can be applied if the camera moves along an arbitrary curve parallel to the image plane, without any rotations. The knowledge of camera trajectory and camera parameters is not necessary. At the input, the user selects a region where depth variations are negligible. The algorithm belongs to the group of variational methods that estimate simultaneously a sharp image and a depth map, based on the minimization of a cost functional. To initialize the minimization, it uses an auxiliary window-based depth estimation algorithm. Feasibility of the algorithm is demonstrated by three experiments with real images.