In our CVPR paper “Gyro-based Multi-Image Deconvolution for Removing Handshake Blur” [4], we proposed a multi-image deblurring system that uses gyroscope data for camera motion estimation. Although our method effectively removes handshake blur in static regions, moving objects and over-exposed regions are not handled properly. These regions are considered as outliers because they do not follow ...

Thermocouples are one of the most popular devices for temperature measurement in many mechatronic implementations. However, large wire diameters are required to withstand harsh environments and consequently the sensor bandwidth is reduced. This paper describes a novel algorithmic compensation technique based on blind deconvolution to address this loss of high frequency signal components using t...

The ‘Bussgang’ is one of the most known blind deconvolution algorithms. It requires the prior knowledge of the source statistics as well as the deconvolution noise characteristics. In this paper we present a first attempt for making the algorithm ‘more blind’ by replacing the original Bayesian estimator with a flexible parametric function whose parameters adapt through time. To assess the effec...

Compared to more mundane blind deconvolution problems, blind deconvolution in seismic applications involves a feedback mechanism related to the free surface. The presence of this feedback mechanism gives us an unique opportunity to remove ambiguities that have plagued blind deconvolution for a long time. While beneficial, this feedback by itself is insufficient to remove the ambiguities even wi...

The authors review the theoretical basis of determination of cerebral blood flow (CBF) using dynamic measurements of nondiffusible contrast agents, and demonstrate how parametric and nonparametric deconvolution techniques can be modified for the special requirements of CBF determination using dynamic MRI. Using Monte Carlo modeling, the use of simple, analytical residue models is shown to intro...

In the following paper we investigate two algorithms for blind signal deconvolution that has been proposed in the literature. We derive a clear interpretation of the information theoretic objective function in terms of signal processing and show that only one is appropriate to solve the deconvolution problem, while the other will only work if the unknown filter is constrained to be minimum phas...

This paper describes a technique for the blind deconvolution of extended objects such as Hubble Space Telescope ( H S T ) , scanning electron and 3D fluorescence microscope images. T h e blind deconvolution mechanism i s based o n the Richardson-Lucy algorithm and alternates between deconvolution of the image and point spread func t ion ( P S F ) . This f o r m of iterative blind deconvolution ...