An undersampled acquisition geometry and a limited recording aperture often produces migration noise (i.e., acquisition footprint) that blurs the subsurface reflectivity image. Here, we develop a prestack migration deconvolution (MD) filter that deblurs the migration image. The MD filter is applied to 3-D prestack SEG/EAGE salt data as well as 3-D marine data from Alaska. Results show that MD c...

We've found that Burg's two-dimensional lter ooers too much freedom in producing lateral predictions, since the predictions within a trace appear to overwhelm the lateral predictions. Instead, we x the lter coeecients along the output column so the form of the two-dimensional lter becomes equivalent to that of the FX-decon operator. The ability to control the length of this lter in time allows ...

In the communication field, during transmission, a source signal undergoes a convolutive distortion between its symbols and the channel impulse response. This distortion is referred to as Intersymbol Interference (ISI) and can be reduced significantly by applying a blind adaptive deconvolution process (blind adaptive equalizer) on the distorted received symbols. But, since the entire blind deco...

Hormone secretion is an intrinsically discontinuous process characterized by a pul-satile pattern. In this paper we describe a fuzzy deconvolution method for pulsatile hormone secretion signals. The secretion signal is modeled as a Poisson process. The fuzzy deconvolution method is based on fuzzy identiication by using learning signals, mountain clustering and optimal output predefuzziication. ...

In this paper, I apply the migration deconvolution to synthetic seismic images that have been distorted by cable feathering, migration velocity errors and recording geometry variations. The results show that migration deconvolution is able to suppress the velocity and geometry errors and can noticeably improve the quality of the migration image for both 2-D poststack and 3-D prestack migration....

A blind deconvolution algorithm based on the Richardson–Lucy deconvolution algorithm is presented. Its performance in the presence of noise is found to be superior to that of other blind deconvolution algorithms. Results are presented and compared with results obtained from implementation of a Weiner filter blind deconvolution algorithm. The algorithm is developed further to incorporate functio...

Having attractiveness in digital cameras, the digital image processing is getting more imperative nowadays. One of the most common problems facing with digital photography is noise and blurring that needs restoration. In this paper, we present a new method for image blind deconvolution [2]. The Proposed Method employs threshold based image restoration technique in blind image deconvolution. The...

Previously, Raskar proposed a method of transforming the frequency response of a traditional shutter through the use of coded exposure. This technique shaped the frequency spectrum to a broadband signal that preserved higher frequency information and thus made the deconvolution process more well posed. This paper presents a generalization of the motion blur kernel he used. Instead of requiring ...

Time-domain bidirectional deconvolution methods show great promise for overcoming the minimum-phase assumption in blind deconvolution of signals containing a mixed-phase wavelet, such as seismic data. However, usually one timedomain method is slow to converge (the slalom method) and the other one is sensitive to the initial point or preconditioner (the symmetric method). Claerbout proposed a lo...