In guided wave pipeline inspection, echoes reflected from closely spaced reflectors generally overlap, meaning useful information is lost. To solve the overlapping problem, sparse deconvolution methods have been developed in the past decade. However, conventional sparse deconvolution methods have limitations in handling guided wave signals, because the input signal is directly used as the proto...

Based on truncated inverse filtering, a theory for deconvolution of complex fields is studied. The validity of the theory is verified by comparing with experimental data from digital holographic microscopy (DHM) using a high-NA system (NA=0.95). Comparison with standard intensity deconvolution reveals that only complex deconvolution deals correctly with coherent cross-talk. With improved image ...

ABSTRACT Accompanying Part I, this sequel delineates a validation of the recently proposed AI for Regularization in radio-interferometric Imaging (AIRI) algorithm on observations from Australian Square Kilometre Array Pathfinder (ASKAP). The monochromatic AIRI-ASKAP images showcased work are formed using same parallelized and automated imaging framework described I: ‘uSARA validated ASKAP data’...

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...