Abstract: Many popular deconvolution methods based on Robinson's convolutional model have played an important role in improving the temporal resolution of seismic data. However, the outcomes of ...

Abstract: Blind deconvolution is a strongly ill-posed problem comprising of simultaneous blur and image estimation. Recent advances in prior modeling and/or inference methodology led to methods that ...

This is the primary documentation for the MoveIt project. We strongly encourage you to help improve MoveIt's documentation. Please consider helping improve the tutorials, port old ones from ROS 1, and ...

This is an implementation of the color normalization for histological images based on the adaptive color deconvolution as described in our paper: Yushan Zheng, Zhiguo Jiang, Haopeng Zhang, Fengying ...

† ‡ † National Magnetic Resonance Facility at Madison and ‡ Department of Biochemistry, University of Wisconsin-Madison, 433 Babcock Drive, Madison, Wisconsin 53706, United States Article Views are ...