In rocket telemetry imaging systems, the diffraction of the optics can generate a blurred effect and the onboard electronic devices can add noise. In order to solve these problems, this paper proposes a new image restoration scheme that joins Blind Deconvolution and Wavelet Packet. This process takes advantage of Blind Deconvolution for restoring the degraded image with partial or even no infor...

The overall long-term goal for this project is to develop engineering tools that are useful to the Navy as it operates in uncertain, partially known, or unknown ocean environments. During the last year, this project has focused on further determining the utility of a fully passive propagation-physics-based technique for blind deconvolution of array-recorded sounds from a remote source with emph...

Camera lenses are a critical component of optical imaging systems, and lens imperfections compromise image quality. While traditionally, sophisticated lens design and quality control aim at limiting optical aberrations, recent works [1,2,3] promote the correction of optical flaws by computational means. These approaches rely on elaborate measurement procedures to characterize an optical system,...

Biomedical images are often degraded during image acquisition. Two very common degradations that occur in many biomedical imaging modalities are blur and noise. Corrupted images are more difficult to interpret by the physician or researcher and so the goal is to restore the original image. Blurring can be mathematically modeled by convolution, and within this model the blur is characterized by ...

Time Reversal can be used to time reverse and propagate the measured scattered waveforms to a point in both time and space, ideally to a delta function δ(~r)δ(t). This is commonly referred to as time reversal focusing and has led to time reversal being applied in a wide variety of fields such as medicine, communications, nondestructive evaluation (NDE), and seismology. In practice, time reversa...

Abstract. Consider a mixed compound process Y (t) = ∑N(Λt) i=1 ξi where N is a Poisson process with intensity 1, Λ a positive random variable, (ξi) a sequence of i.i.d. random variables with density f and (N,Λ, (ξi)) are independent. In this paper, we study nonparametric estimators of f by specific deconvolution methods. Assuming that Λ has exponential distribution with unknown expectation, we ...

Controlled Source Electromagnetic (CSEM) is an important technique in hydrocarbon exploration, because it uses the large contrast in electrical resistivity to distinguishes between water and hydrocarbons. In a shallow sea environment, the airwave that is refracted from the air-water interface dominates the recorded signal at large offsets. Therefore, the hydrocarbon detection ability of the CSE...

In this papcr, we prcscmt a stochastic dcconvolution mcthod for a class of invcrsc prr,hlemr that arc naturdly fomulatcd as p q ronwlutiom. Kanmplcs of such problcms includc Radon transform inversion for tcmography, radar and smar imsging, 3 s wcll as channcl cstimtion in communicatinns. Key componcnts of ow appmach BCC group reprcsmation thcor). and thc conccpt of group stntiooaritl.. Wc formu...

• LIBS & SIMS depth profiles analysis of Be-based layers containing C, O, H, D-fuel. Deconvolution D α and H lines by Lorentz fitting for the quantification H. MESB plot Stark broadening line evaluation T e n , resp. Determination fuel content CF-LIBS comparison with TOF-ERDA IBA. Study variation elemental composition when changing . A remote system is being considered as an tool in ITER monito...