Fingerprint Matching Using an Orientation-Based Minutia Descriptor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion-Based Motion Deblurring
IEEE Transactions on Pattern Analysis and Machine Intelligence
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
High-quality motion deblurring from a single image
ACM SIGGRAPH 2008 papers
Image enhancement method VIA blur and noisy image fusion
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A regularization approach to joint blur identification and image restoration
IEEE Transactions on Image Processing
Total variation blind deconvolution
IEEE Transactions on Image Processing
Comparametric equations with practical applications in quantigraphic image processing
IEEE Transactions on Image Processing
The curvelet transform for image denoising
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Mutual information refinement for flash-no-flash image alignment
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
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Due to small sensors and low-cost optics, miniature cameras embedded in mobile devices have a reduced capacity to capture light. Setting longer exposure times helps only with relatively static scenes and if the camera does not move during the image integration, otherwise any motion may result in a motion-blurred degraded image. In this paper we present two methods to prevent motion blur degradation in mobile devices. These solutions are based on fusing the visual information captured in multiple images of the scene. One solution relies on fusing short exposed images of the scene, whereas the second solution makes use of differently exposed images. The proposed methods are demonstrated through simulations and visual examples on real images.