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Three‐dimensional receiver deghosting of seismic streamer data using L1 inversion and redundant extended radon dictionary

open access: yesGeophysical Prospecting, 2018
In this paper, we propose a novel three-dimensional receiver deghosting algorithm that is capable of deghosting both horizontal and slanted streamer data in a theoretically consistent manner.
Yimin Sun
exaly   +2 more sources
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Robust patchmatch HDR image reconstruction for deghosting

Pattern Recognition Letters, 2022
Shu-Fang Xia, Zhong Qu
exaly   +2 more sources

A novel deghosting method for exposure fusion

Multimedia Tools and Applications, 2018
A novel ghost-free exposure fusion method for generating an HDR image of a dynamic scene is presented in this paper. Given a sequence of input images with gradually increased exposures, due to the theory that the luminance is linearly depended on the exposure time (Mertens et al.
Chunmeng Wang, Chen He
openaire   +1 more source

A new method of television signal deghosting

Proceedings of 1st International Conference on Image Processing, 2002
A multipath channel in television broadcasting can result in overlaid images (ghosts) or distorted noisy images on the display and is a major problem to be overcome. We propose a method to equalize the multipath distortion for the case of digital transmission and nonminimum phase channels.
Eduardo Abreu   +2 more
openaire   +1 more source

Evaluating deghosting algorithms for HDR images

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
The real world encompasses a high range of luminances. In order to capture and represent this range correctly, High Dynamic Range (HDR) imaging techniques are introduced. Some of these techniques are based on constructing an HDR image from several Low Dynamic Range (LDR) images with different exposures. In the capture and reconstruction phases, the HDR
Okan Tarhan Tursun   +3 more
openaire   +1 more source

Low-frequency seismic deghosting

Geophysics, 2013
ABSTRACT We evaluated a solution to seismic deghosting that deghosts the low-frequency components of the seismic pressure data. In an approximation that neglected the dependence on wavenumbers, the low-frequency deghosted pressure field was computed trace-by-trace as the sum of the pressure field and its scaled temporally integrated ...
Lasse Amundsen, Hongbo Zhou
openaire   +1 more source

Statistical Approach to Seismic Deghosting

Proceedings, 2016
Ghost reflections occur in the process of seismic data recording. The ghost wave is a noise event and should be eliminated while data processing. A method to attenuate the ghost reflection is presented. It allows both the source- and receiver- side deghosting.
M.S. Denisov, A.E. Firsov
openaire   +1 more source

Combining Deblending with Source Deghosting

Proceedings, 2014
A source array that generates both a downgoing signal and a ghost signal - caused by the strong surface reflectivity - is in fact a blended source array. The two unblended source wavefields involved in this blending process correspond to sources at the original location below the water level and to the corresponding ‘ghost’ sources at the mirrored ...
A.J. Berkhout, G. Blacquiere
openaire   +1 more source

Two-dimensional deghosting for EPI

Magma: Magnetic Resonance Materials in Physics, Biology, and Medicine, 1999
A residual ghost artefact in echo-planar imaging (EPI) remains after the standard correction procedure based on a 1-dimensional phase-modulation of the spectra of even or odd echoes. A better reduction of this artefact is demonstrated using a 2-dimensional phase correction. The phase correction map is measured inside the ghost-free region of the image,
openaire   +2 more sources

Joint Adaptive Deghosting and Designature

81st EAGE Conference and Exhibition 2019, 2019
Summary The adaptive deghosting algorithm has proved very effective in handling noise and filling source and receiver ghost notches while honouring the measured data. We introduce a variation in the formulation of the adaptive deghosting problem to include the source signature wavelet in the forward model.
P. Caprioli   +3 more
openaire   +1 more source

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