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Single-image blind deblurring could be considered as an important preprocessing step in imaging information fusion. Its purpose is to simultaneously estimate blur kernel and latent sharp image from only one observed blurred image. Blind deblurring has been attracting increasing attention in the fields of image processing, computer vision, computational photography, etc. However, it is a typically...
As an automatic tracking system, the shipboard Automatic Identification System (AIS) has been widely adopted to identify and locate the vessels by electronically exchanging data with other nearby ships. With the development of computer technology, AIS-based visualization of vessel traffic has attracted increasing attention during the past several years. The vessel density visualization can be used...
Single-image blind deconvolution is a challenging illposed inverse problem which requires regularization techniques to stabilize the restoration process. Its purpose is to recover an underlying blur kernel and a latent image from only one blurred image. In most imaging situations, the blur kernel is not only spatially sparse, but also piecewise smooth with the support of a continuous curve. Thus this...
Nasal resonance is utilized in certain languages to differentiate word meanings. The joint filtering effect by the vocal tract and the nasal tract can be modeled by the auto-regression moving-average (ARMA) approach. However, unlike all-pole (i.e., AR) modeling, it has been difficult to derive the equivalent vocal-tract area function directly from an ARMA model due to the nonlinear nature in the relation...
A method for capturing the two-dimensional (2D) surface movements from two temporal TerraSAR-X (TSX) intensity images has been proposed by the authors in previous research. However, it is impossible to detect the three-dimensional (3D) actual displacement from one pair of TSX images. Hence, three pairs of TSX images taken in ascending and descending paths were used to estimate 3D crustal movements...
Stereo video object segmentation is a critical technology of the new generation of video coding, video retrieval, Internet and other emerging interactive multimedia field. This paper puts forward a redundant wavelet transform based stereo video object segmentation algorithm. First, the algorithm obtains the disparity map by redundant wavelet transform and then uses the disparity map to do video object...
The work presented here considers coherent source localization with bicomplex. A new polarimetric smoothing variant is proposed by using bicomplex modeled subarrays obtained from complete electromagnetic vector-sensor array, and a MUSIC-like algorithm is further developed. The identifiability, computational complexity, and the choice of selection vectors for the proposed method are also addressed...
Summary form only given. A hybrid method which combines four different algorithms for low-frequency oscillation parameter estimation using wide-area measurements is presented in this paper. The first algorithm is the discrete Fourier transform (DFT) which is used to start the low-frequency oscillation estimation process. The second one is the finite-impulse response (FIR) window filter which is employed...
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