W Guo, J Qin, W Yin - SIAM journal on imaging sciences, 2014 - SIAM
It is a challenging task to reconstruct images from their noisy, blurry, and/or incomplete measurements, especially those with important details and features such as medical …
G Kutyniok, D Labate - Shearlets: Multiscale analysis for multivariate data, 2012 - Springer
Shearlets emerged in recent years among the most successful frameworks for the efficient representation of multidimensional data. Indeed, after it was recognized that traditional …
PS Negi, D Labate - IEEE transactions on Image Processing, 2012 - ieeexplore.ieee.org
In this paper, we introduce a digital implementation of the 3-D shearlet transform and illustrate its application to problems of video denoising and enhancement. The shearlet …
S Häuser, G Steidl - International Journal of Computer Mathematics, 2013 - Taylor & Francis
Segmentation plays an important role in many preprocessing stages in image processing. Recently, convex relaxation methods for image multi-labelling were proposed in the …
P Grohs, G Kutyniok - Foundations of Computational Mathematics, 2014 - Springer
Anisotropic decompositions using representation systems based on parabolic scaling such as curvelets or shearlets have recently attracted significant attention due to the fact that they …
B Han, Z Zhao - SIAM Journal on Imaging Sciences, 2014 - SIAM
Tensor product real-valued wavelets have been employed in many applications such as image processing with impressive performance. Edge singularities are ubiquitous and play …
Network level evaluation of pavement surface drainage plays a crucial role in the improvement of pavement safety and reducing accident rates. Hydroplaning, as the main …
Optical coherence tomography (OCT) images is widely used in ophthalmic examination, but their qualities are often affected by noises. Shearlet transform has shown its effectiveness in …