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Image Processing, IEEE Transactions on

Issue 3 • Date Jul 1993

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Displaying Results 1 - 10 of 10
  • Performance evaluation of 2-D adaptive prediction filters for detection of small objects in image data

    Publication Year: 1993 , Page(s): 327 - 340
    Cited by:  Papers (32)  |  Patents (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1260 KB)  

    This work studies the performance of dimensional least mean square (TDLMS) adaptive filters as prewhitening filters for the detection of small objects in image data. The object of interest is assumed to have a very small spatial spread and is obscured by correlated clutter of much larger spatial extent. The correlated clutter is predicted and subtracted from the input signal, leaving components of... View full abstract»

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  • A generalized Gaussian image model for edge-preserving MAP estimation

    Publication Year: 1993 , Page(s): 296 - 310
    Cited by:  Papers (245)  |  Patents (3)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1224 KB)  

    The authors present a Markov random field model which allows realistic edge modeling while providing stable maximum a posterior (MAP) solutions. The model, referred to as a generalized Gaussian Markov random field (GGMRF), is named for its similarity to the generalized Gaussian distribution used in robust detection and estimation. The model satisfies several desirable analytical and computational ... View full abstract»

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  • Hierarchical reconstruction using geometry and sinogram restoration

    Publication Year: 1993 , Page(s): 401 - 416
    Cited by:  Papers (10)  |  Patents (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1644 KB)  

    The authors describe and demonstrate a hierarchical reconstruction algorithm for use in noisy and limited-angle or sparse-angle tomography. The algorithm estimates an object's mass, center of mass, and convex hull from the available projections, and uses this information, along with fundamental mathematical constraints, to estimate a full set of smoothed projections. The mass and center of mass es... View full abstract»

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  • A reduced order extended Kalman filter for sequential images containing a moving object

    Publication Year: 1993 , Page(s): 285 - 295
    Cited by:  Papers (12)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1480 KB)  

    The extended Kalman filter (EKF) is applied to the reduction of noise in sequential images containing a moving object and to the estimation of the object's velocity. A computationally tractable approximation of the EKF, called the parallel extended Kalman filter (PEKF), is generated. The PEKF consists of a parallel bank of third-order EKFs, operating on the Fourier coefficients of the image, follo... View full abstract»

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  • The fast discrete Radon transform. I. Theory

    Publication Year: 1993 , Page(s): 382 - 400
    Cited by:  Papers (16)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1480 KB)  

    An inversion scheme for reconstruction of images from projections based on the slope-intercept form of the discrete Radon transform is presented. A seminal algorithm for the forward and the inverse transforms proposed by G. Beylkin (1987) demonstrated poor dispersion characteristics for steep slopes and could not invert transforms based on nonlinear slope variations. By formulating the computation... View full abstract»

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  • An adaptive regularized recursive displacement estimation algorithm

    Publication Year: 1993 , Page(s): 341 - 352
    Cited by:  Papers (9)  |  Patents (6)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1528 KB)  

    An adaptive regularized recursive displacement estimation algorithm is presented. An estimate of the displacement vector field (DVF) is obtained by minimizing the linearized displaced frame difference (DFD) using ν subsets (submasks) of a set of points that belong to a causal neighborhood (mask) around the working point. Assuming that the displacement vector is constant at all points inside the... View full abstract»

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  • A computational vision approach to image registration

    Publication Year: 1993 , Page(s): 311 - 326
    Cited by:  Papers (65)  |  Patents (10)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (2408 KB)  

    A computational vision approach is presented for the estimation of 2-D translation, rotation, and scale from two partially overlapping images. The approach results in a fast method that produces good results even when large rotation and translation have occurred between the two frames and the images are devoid of significant features. An illuminant direction estimation method is first used to obta... View full abstract»

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  • A general framework for frequency domain multi-channel signal processing

    Publication Year: 1993 , Page(s): 417 - 420
    Cited by:  Papers (30)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (308 KB)  

    The authors provide a general framework for performing processing of stationary multichannel (MC) signals that is linear shift-invariant within channel and shift varying across channels. Emphasis is given to the restoration of degraded signals. It is shown that, by utilizing the special structure of semiblock circulant and block diagonal matrices, MC signal processing can be easily carried out in ... View full abstract»

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  • Restoration of differently blurred versions of an image with measurement errors in the PSF's

    Publication Year: 1993 , Page(s): 369 - 381
    Cited by:  Papers (7)  |  Patents (2)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1056 KB)  

    Restoration of an object from T observations is considered. Each image is distorted by a different deterministic blur and additive noise. The point spread function (PSF) for each observation is unknown; however, a noisy measurement of it is available. Taking the errors in measurements of the PSFs into consideration, the maximum-likelihood and Wiener filters are derived. It is shown that t... View full abstract»

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  • An eigenstructure approach to edge detection

    Publication Year: 1993 , Page(s): 353 - 368
    Cited by:  Papers (1)
    Request Permissions | Click to expandAbstract | PDF file iconPDF (1508 KB)  

    A procedure for detecting step edges in noisy signals that does not involve any prefiltering of the data is proposed. It locates step edges in 1-D noisy signals as follows. First, it computes the eigenvectors corresponding to the three smallest eigenvalues of a matrix formed with the discrete Fourier transform of the given data. Next, it estimates the edge locations by finding the local minima in ... View full abstract»

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Aims & Scope

IEEE Transactions on Image Processing focuses on signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing.

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Meet Our Editors

Editor-in-Chief
Scott Acton
University of Virginia
Charlottesville, VA, USA
E-mail: acton@virginia.edu 
Phone: +1 434-982-2003